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Climbing robots in natural terrain

Climbing robots in natural terrain
Climbing robots in natural terrain

Climbing Robots in Natural Terrain

Timothy Bretl, Teresa Miller, and Stephen Rock Jean-Claude Latombe

Aerospace Robotics Lab Robotics Laboratory

Department of Aeronautics and Astronautics Computer Science Department

Stanford University, Stanford, CA 94305Stanford University, Stanford, CA 94305 {tbretl, tgmiller, rock}@https://www.doczj.com/doc/f214047856.html, latombe@https://www.doczj.com/doc/f214047856.html, Keywords Motion planning, climbing, robotics,

legged robots, high-risk access, natural terrain.

Abstract

This paper presents a general framework for plan-

ning the quasi-static motion of climbing robots. The

framework is instantiated to compute climbing motions

of a three-limbed robot in vertical natural terrain. An

example resulting path through a large simulated

environment is presented. The planning problem is one

of five fundamental challenges to the development of

real robotic systems able to climb real natural terrain.

Each of the four other areas—hardware design,

control, sensing, and grasping—is also discussed.

1Introduction

The work described in this paper is part of an effort to develop critical technologies that will enable the design and implementation of an autonomous robot able to climb vertical natural terrain. To our knowl-edge, this capability has not been demonstrated previously for robotic systems. Prior approaches have dealt with artificial terrain, either using special “grasps” (e.g., pegs, magnets) adapted to the terrain’s surface or exploiting specific properties or features of the terrain (e.g., ducts and pipes) [1-12].

Developing this capability will further our under-standing of how humans perform such complex tasks as climbing and scrambling in rugged terrain. This may prove useful in the future development of sophisticated robotic systems that will either aid or replace humans in the performance of aggressive tasks in difficult terrain. Examples include robotic systems for such military and civilian uses as search-and-rescue, reconnaissance, and planetary exploration. Many issues need to be addressed before real robots can climb real, vertical, natural terrain. This paper considers five of the most fundamental of these issues: hardware design, control, sensing, planning, and grasping. One of these issues in particular, the motion-planning problem, is described in more detail.A general framework for climbing robots is presented and this framework is instantiated to compute climbing motions of the three-limbed robot shown in Figure 1. Simulation results are shown for the robot in an example vertical environment.

2Motivation

The results of research in this area will benefit a number of applications and have implications for several related research areas.

2.1Applications

This paper is motivated by a need for robotic sys-tems capable of providing remote access to high-risk natural environments.

There are many terrestrial applications for these systems, such as search-and-rescue, cave exploration, human assistance for rock and mountain climbing, and tactical urban missions. Each of these applications requires climbing, descending, or traversing steep slopes and broken terrain, and thus involves consider-able human risk.

Several space applications could also benefit from these aggressive robotic systems. For example, sites on Mars with potentially high science value have been identified on cliff faces [13]. Often, it is neither

practical nor feasible for flying robots to access these Fig 1. A three-limbed climbing robot moving vertically on natural surfaces.

locations. Therefore, to reach these sites, robots must climb, descend, or traverse steep slopes. Future goals for exploration on other planetary bodies may require access to equally rugged terrain.

2.2Implications

In addition to furthering the development of a climbing robot for vertical natural terrain, the results of research in this area could provide fundamental insight into several related research areas. For example, this study could lead to the development of better strategies for robotic walking or dexterous manipulation. Human climbers often comment on an increase in balance and an expanded range of movement in everyday activity as they become more proficient at the sport. This enhanced mobility is often referred to as “discovering new degrees of freedom,” and is related to the idea of discovering useful new modes of mobility for ex-tremely complicated humanoid robots or digital actors. Also, the development of planning algorithms for climbing robots could lead to a better set of criteria for the design of these types of robots. These algorithms could be applied to candidate designs in simulation to determine the capabilities of the resulting robots, and thus to select a design.

3Fundamental Issues

There are five fundamental issues involved in climbing steep natural terrain: hardware design, control, sensing, grasping, and planning. A substantial amount of work needs to be done in each of these areas in order to develop a real climbing robot. This section describes the challenges involved in the first four of these areas; the planning problem will be discussed in more detail in Section 4.

3.1Hardware Design

A good hardware design can increase the perform-ance of the robot, and often can make each of the other fundamental issues easier to deal with. However, past use of hardware solutions in maintaining equilibrium generally resulted in a fundamental limitation on the terrain that could be traversed.

Wheeled robotic systems have been used to ascend and traverse natural slopes of up to 50 degrees, to descend slopes of up to 75 degrees, and to climb over small obstacles in rough terrain. These systems either use some form of active or rocker-bogie suspension as in [12, 14-16], or use rappelling as in [1]. Similar results have been obtained using legged rappelling robots [3, 17] and a snake-like robot [4].

The terrain that these rovers can traverse robustly is impressive, but none of the existing systems has been shown to be capable of climbing natural slopes of 90 degrees or higher. Wheeled rovers and snake-like robots have an inherent grasping limitation that prevents their use in ascending sustained near-vertical or descending sustained past-vertical natural slopes. Existing legged robotic systems do not have this limitation, but still have bypassed the issue of main-taining contact with the slope by using rappel tethers. Reliance on these tethers prohibits initial cliff ascent, and limits the slope grade on cliff descent to below 90 degrees.

A wide variety of robots capable of climbing vertical artificial surfaces is available. Most of these robots exploit some property of the surface for easy grasping. For example, some of these robots use suction cups or permanent magnets to avoid slipping [5-8]. Others take advantage of features such as balcony handrails [9] or poles [10]. However, the surface properties that are exploited by these robots generally are not available in natural terrain.

In contrast, the simpler hardware designs used by [2, 11] had no such limitations. It is expected that solutions to the planning problem such as the one presented in this paper will allow basic natural vertical terrain to be climbed by similar systems, in addition to the ducts and pipes climbed by existing systems, and will suggest design modifications for better perform-ance.

Future studies could address the use of other types of tools for grasping vertical natural surfaces, such as tools for drilling bolts or placing other types of gear in rock. The use of these tools would allow more challenging climbs to be accomplished, in the same way that “aid” helps human climbers [18, 19]. However, these tools bring an increase in weight and complexity, slowing movement and limiting potential applications.

3.2Control

There are three primary components of the control problem for a climbing robot: maintenance of equilib-rium, endpoint slip control, and endpoint force control. These three components are tightly related. In order to maintain balance, both the location of the center of mass of the robot and the forces from contacts with natural features must be controlled. Control of slip at these contacts is directly related to the direction and magnitude of the contact forces.

Existing control techniques such as those based on the operational space formulation [20] could form a baseline approach to the design of a control architec-ture for a climbing robot. However, these techniques could be extended in a number of different ways to achieve better performance. For example, future research might address the design of an endpoint slip controller that is stable with respect to the curvature of a contact surface, rather than with respect to a point contact only.

3.3Sensing

For control and grasping, the robot must be capable of sensing the orientation of its body with respect to

the gravity vector, the location of its center of mass, the relative location of contact surfaces from its limb endpoints, and the forces that it is exerting at contacts with natural features. For planning, the robot must additionally be able to locate new holds and generate a description of their properties, possibly requiring a measurement of levels of slip at contact points. Sensor integration, in order to acquire and use this information with algorithms for control, grasping, and planning, is a challenging problem.

Existing engineering solutions are available which can lead to the development of a baseline approach in each case. For example, sensors such as those de-scribed in [21, 22] can provide basic endpoint force and slip measurements, an inertial unit and magnetic compass can provide position information, an on-board vision system can provide a rough characterization of hold locations and properties, and encoders can provide the location of the center of mass. However, the improvement of each of these sensors—in terms of performance, mass reduction, or cost reduc-tion—presents an open area for research.

Although the performance of the planning frame-work that will be presented in Section 4 would be improved with better sensor information, it does not depend on a perfect model of the environment a priori. Since the framework leads to fast, online implementa-tion, plans can be updated to incorporate new sensor

information as it becomes available.

3.4Grasping

The performance of a climbing robot is dependent on its ability to grasp “holds,” or features on a steep natural surface. It has already been noted that special-ized grasping schemes, relying on specific properties of the surface such as very smooth textures, pegs, or handles, cannot be used for grasping arbitrary natural features. The problems involved in grasping natural holds will be examined further in this section. Traditionally grasp research has been interested in either picking up an object or holding it immobile (also called “fixturing.”) Research in this subject dates as far back as 1876 it was shown that a planar object could be immobilized using a minimum of four frictionless point constraints [23]. Good overviews of more recent work can be found in [24, 25]. In this field an impor-tant concept is “force-closure,” defined as a grasp that “can resist all object motions provided that the end-effector can apply sufficiently large forces at the unilateral contacts.” [25] Nearly all research on grasps has focused on selecting, characterizing, and optimiz-ing grasps that have the property of force-closure. However, for the task of climbing a grasp need not achieve force-closure to be a useful grasp. For example, a robot may find a shelf-like hold very effective for pulling itself up, even though this grasp would be completely unable to resist forces exerted in other directions. For this reason, the techniques for selecting, characterizing, and optimizing grasps must be expanded significantly to apply to climbing robots. Characterization involves examining the direction and magnitudes of forces and torques (also called wrenches) that can be exerted by the grasp. For example, for one-finger grasps on point holds, an adequate representation of this information is a friction cone, which will be used for the planning algorithm described in Section 4.

The idea of characterization also encompasses a “quality factor.” Measures of grasp quality have been researched extensively and are well reviewed in [26]. This work lists eight dexterity measures that include minimization of joint angle deviations and maximiza-tion of the smallest singular value of the grasp matrix. Other relevant research has been done using the concept of the wrench space. Using this concept, quality is defined as the largest wrench space ball that can fit within the unit grasp wrench space [27]. The volume of the grasp wrench space, or of more specialized task ellipsoids, could be used as a quality measure [28]. These ideas have been expanded to include limiting maximum contact force and applied in a grasp simulator to compute optimal grasps with various hands in 3D [29, 30].

However, the concept of grasp quality is ill defined for grasps that do not provide force-closure. Depend-ing on the direction that a climber wishes to go, different grasps may be of higher quality. Furthermore, grasp quality generally includes a concept of security or stability, and this too is ill defined for

non-force-

(a)

(b)

Fig. 2. Four different human climbing grasps, the (a) open grip, (b) crimp, (c) finger-lock, and (d) hand jam.

closure grasps. Again, depending on the direction of applied forces, the security of a grasp may change. The concept of hold quality must be defined before useful optimization is possible. Also, an efficient way of transmitting this information to a controller or planner is necessary to accomplish the climbing task.

A qualitative classification of different types of grasps already exists in the literature for human climbers [19, 31]. In this classification, grasps are first broken into two categories, those meant for pockets, edges, and other imperfections on otherwise unbroken vertical rock faces, and those meant for sustained vertical cracks. Several examples of different face and crack grasps are shown in Figure 2. The literature gives a rough idea of the quality and use of each type of grasp in terms of criteria such as a perceived level of security, the amount of torque that can be exerted on a hold, and the amount of friction at the “power point.”Not only is this expert intuition qualitative, but also

it is clear that human climbers need to perform additional grasp planning for specific cases. As put by Long, “There are as many different kinds of holds as there are ways to grab them [31].” However, this intuition can be used as a starting point for determining meaningful quantitative criteria for grasp selection and optimization.

A comparison of the climbing literature with past work on robotic grasp planning reveals several other fundamental differences between the two applications that may become important in future research. For example, many climbing holds are very small, so the fingers used in a climbing grasp often have large diameters relative to the object to be grasped. Litera-ture on robotic grasping primarily considers the case where the fingers have small diameters relative to the object. In addition, some climbing grasps, as men-tioned above and shown in Figure 2, are based on jamming fingers in a crack. This technique is very different from one a robot might use to pick up an object, and requires a high degree of flexibility and small degrees-of-freedom in order to “un-jam” the fingers. Clearly, continued work on climbing robots eventually will lead to the consideration of a wealth of new issues in grasping.

4Planning

The planning problem is the fifth fundamental challenge for climbing robots in natural terrain. Details of the motion-planning framework presented in this section are given in [32].

4.1Challenges

The planning problem for a climbing robot consists of generating a trajectory that moves the robot through a vertical environment while maintaining equilibrium. This problem is challenging even for human climb-ers! Climbing is described by Long as a “singular

(a)

(b)

(c)

Fig. 3. Three different human climbing “moves,” the (a) back-step, (b) stem, and (c) high-step.

challenge, where each ‘route’ up the rock is a mental and physical problem-solving design whose sequence and solution are unique. Every climb is different [31].”Much of the sequence for a particular route might be composed of one of a variety of different types of “moves,” such as a back-step, stem, mantel, high-step, counterbalance, counterforce, lie-back, down-pressure, or under-cling. Some of these moves are shown in Figure 3. Each “move” is a learned technique for maintaining balance that may seem counterintuitive. In addition to these heuristics, movement through a large number of other very specific body positions might be necessary to progress towards the top of a climb.

The importance of planning a sequence of moves before actually climbing is emphasized by Graydon and Hanson [19], who recommend that climbers “identify and examine difficult sections before [they] get to them, make a plan, and then move through them quickly.” The human motivation for this approach is primarily to minimize the effort required for each move and to conserve energy, since most people have hard strength and endurance limits.

The planning problem for a climbing robot is quite similar. The robot likely will be equipped with actuators that can exert high torques only for short amounts of time, so planning a sequence of moves before climbing is important for a robotic system as well. Likewise, a climbing robot will be subject to the same hard equilibrium constraints, and will need to select between a similarly wide range of possible motions. Therefore, the development of a planning algorithm for an autonomous climbing robot is a very challenging problem.

4.2Related Work

The search space for a climbing robot is a hybrid space, involving both continuous and discrete actions. Many different methods are available for motion planning through continuous spaces, including cell decomposition, potential field, and roadmap algo-rithms [33]. Discrete actions can be included in these methods directly, for example at the level of node expansion in roadmap algorithms, but this approach generally leads to a slow implementation that is specific to a particular system.

Previous work on motion planning for legged robots has developed tools for addressing these hybrid search spaces for some systems. This work can be categorized by whether or not the planning is done offline, in order to generate a reactive gait, or online, in order to allow non-gaited motion specific to a sensed environment. Gaited planners generate a predefined walking pattern offline, assuming a fairly regular environment. This pattern is used with a set of heuristics or behav-iors to control the robot online based on current sensor input. Gaited planning was used by [2, 11], for example, to design patterns for climbing pipes and ducts. Other methods such as [34] are based on the notion of support triangles for maintaining equilib-rium. Stability criteria such as the zero-moment-point have been used to design optimal walking gaits [35]. Dynamic gaiting and bounding also have been demonstrated [36-38]. Recent work [39, 40] has attempted to provide unifying mathematical tools for gait generation. Each of these planning algorithms would be very effective in portions of a natural climbing environment with a sustained feature such as a long vertical crack of nearly uniform width. How-ever, something more is needed for irregular environ-ments such as the one studied in this paper, where the surfaces on which the robot climbs are angled and placed arbitrarily.

Non-gaited planners use sensed information about the environment to create feasible motion plans online. Most previous work on non-gaited motion planning for legged robots has focused on a particular system model, the spider robot. The limbs of a spider robot are assumed to be massless, which leads to elegant representations of their free space for quasi-static motion based on support triangles [41-43]. These methods have been extended to planning dynamic motions over rough terrain [44, 45]. The analysis used in these methods breaks down, however, when considering robots that do not satisfy the spider-robot assumption. For example, additional techniques were necessary in [46, 47] to plan non-gaited walking motions for humanoids, which clearly do not satisfy this assumption. To address the high number of degrees of freedom and the high branching factor of the discrete search through possible footsteps, these techniques were based on heuristic discretization and search algorithms. This paper considers a robot with fewer degrees of freedom in a more structured search space where it is possible to achieve much better performance than with these heuristic methods. Similar issues were addressed by [48] in designing a motion-planning algorithm for character animation, although this algorithm was meant to create “realistic,” rather than strictly feasible, motion.

There is also some similarity between non-gaited motion planning for legged locomotion and for grasping and robotic manipulation, particularly in the concept of a manipulation graph [24, 49-51]. Both types of planning require making discrete and continuous choices.

None of these existing planning techniques is suffi-cient to address even the simplest version of the climbing problem in natural vertical environments, in which quasi-static motion, perfect information, and one-finger grasps on point holds are assumed. The problem becomes even more complicated if the quasi-static and perfect information assumptions are relaxed, and if more complicated grasps are considered.

4.3Planning Framework

In this section, we will describe our planning framework in the context of a specific climbing robot,

shown in Figure 1. This robot consists of three limbs. Each limb has two joints, one located at the center of the robot (called the pelvis) and one at the midpoint of the limb. Motion is assumed to be quasi-static (as is usually the case in human climbing) and to occur in a vertical plane, with gravity. The low complexity of this robot’s kinematics makes it suitable for studying the planning of climbing motions.

The terrain is modeled as a vertical plane to which is attached a collection of small, angled, flat surfaces, called “holds,” that are arbitrarily distributed. The endpoint of each robot limb can push or pull at a single point on each hold, exploiting friction to avoid sliding.

A climbing motion of the robot consists of succes-sive steps. Between any two consecutive steps, all three limb endpoints achieve contact with distinct holds. During each step, one limb moves from one hold to another, while the other two endpoints remain fixed. The robot can use the degrees of freedom in the linkage formed by the corresponding two limbs to maintain quasi-static equilibrium and to avoid sliding on either of the two supporting holds. In addition, during a step, the torque at any joint should not exceed the actuator limits and the limbs should not collide

with one another. These constraints define the feasible subset of the configuration space of the robot in each step. A path in this subset defines a one-step motion. The overall planning problem is the following: given a model of the terrain, an initial robot configuration where it rests on a pair of holds, and a goal hold, generate a series of one-step motions that will allow the robot to move in quasi-static equilibrium from the initial configuration to an end configuration where one limb endpoint is in contact with the goal hold.

In [32] we presented the details of a framework to address this planning problem. This framework can be summarized as follows.

First, we presented a detailed analysis of one-step motion for the three-limbed climbing robot. The properties of the continuous configurations at which the robot is in equilibrium were established, and were used to define the feasible set of robot configurations at each pair of holds. In particular, it was shown that the connectivity of the four-dimensional continuous feasible space of the robot could be preserved when planning in a two-dimensional subspace. This result reduced the complexity of the one-step planning problem and led to a fast, online implementation. Then, the overall planner combined this “local planner” with a heuristic search technique to determine a sequence of holds from the initial configuration to the goal hold. The heuristic methods were based on observation of the way in which human climbers plan their motion.

4.4Results

Our work in [32] presented only one set of simula-tion results, for a particular vertical environment. This paper presents a second set of results, for a more challenging environment. This environment, as shown in Figure 4, contains 50 arbitrarily placed and angled holds. The robot is initially located on the two holds at the bottom of the environment, and is required to reach the top two holds.

A plan was found in 3.0 seconds using a 450 MHz PowerPC processor, which is typical for an environ-ment containing 50 holds. Planning times for smaller environments are on the order of 0.1 seconds.

A representative continuous configuration from each one-step motion in the planned sequence is shown in Figure 5. Many of these configurations are remarkably similar to human configurations. For example, the configuration shown in Figure 5(a) is similar to the “stem” shown in Figure 3(b). Likewise, Figures 5(i) and 5(n) depict configurations similar to the “back-step” of Figure 3(a) and the “high-step” of Figure 3(c), respectively.

Each frame of Figure 5 also shows the equilibrium region for the current pair of holds on which the robot is standing. This is the region over which the center of mass of the robot can move while remaining in quasi-static equilibrium without slipping, and is a complete specification of the equilibrium constraint on the robot. Notice that in each configuration shown, the center of mass of the robot lies within the equilibrium region, as expected.

More results, including animated 3D-visualizations, are available online at https://www.doczj.com/doc/f214047856.html,/~tbretl/.

5Conclusion

This paper described the challenges to developing an autonomous climbing robot and presented a framework

for addressing the planning problem.

Fig. 4. An example vertical environment for the three-limbed climbing robot.

Current work deals with the application of the planning framework to a real robotic system, using real hardware. As part of this effort, the framework is being extended to handle additional motion constraints, more complicated robot geometries, imperfectly known environments, and three-dimensional terrain.

Future work will address the other four fundamental issues—hardware design, control, sensing, and grasping—and their relationship to the planning problem.

Acknowledgements T. Bretl is partially supported by an

NDSEG fellowship through ASEE and by a Herbert Kunzel Fellowship. The authors would also like to thank D. Halperin for his helpful comments.

References

[1]P. Pirjanian, C. Leger, E. Mumm, B. Kennedy, M. Garrett, H.

Aghazarian, S. Farritor, and P. Schenker, "Distributed Control for a Modular, Reconfigurable Cliff Robot," IEEE Int. Conf. on Robotics and Automation, 2002.

[2] A. Madhani and S. Dubowsky, "Motion Planning of Mobile

Multi-Limb Robotic Systems Subject to Force and Friction Constraints," IEEE Int. Conf. on Robotics and Automation,1992.

[3]S. Hirose, K. Yoneda, and H. Tsukagoshi, "Titan Vii:

Quadruped Walking and Manipulating Robot on a Steep Slope,"IEEE Int. Conf. on Robotics and Automation, 1997.

[4]M. Nilsson, "Snake Robot - Free Climbing," in IEEE Control

Systems Magazine

, vol. 18, Feb 1998, pp. 21-26.

(a)(b)(c)(d)

(e)

(f)

(g)

(h)

(i)

(j)

(k)(l)(m)

(n)(o)

(p)(q)(r)(s)(t)

Fig. 5. Representative steps of the robot’s motion for the example environment shown in Figure 4. The dark circle in each frame is the center of mass of the robot. The shaded column is the region over which the center of mass can move while the robot remains in equilibrium.

[5]J. C. Grieco, M. Prieto, M. Armada, and P. G. d. Santos, "A

Six-Legged Climbing Robot for High Payloads," IEEE Int.

Conf. on Control Applications, 1998.

[6]H. Dulimarta and R. L. Tummala, "Design and Control of

Miniature Climbing Robots with Nonholonomic Constraints,"

4th World Congress on Intelligent Control and Automation, Jun 2002.

[7]S. W. Ryu, J. J. Park, S. M. Ryew, and H. R. Choi, "Self-

Contained Wall-Climbing Robot with Closed Link Mecha-

nism," IEEE/RSJ Int. Conf. on Intelligent Robots and Systems, 2001.

[8]W. Yan, L. Shuliang, X. Dianguo, Z. Yanzheng, S. Hao, and G.

Xuesban, "Development & Application of Wall-Climbing

Robots," IEEE Int. Conf. on Robotics and Automation, 1999. [9]H. Amano, K. Osuka, and T.-J. Tarn, "Development of

Vertically Moving Robot with Gripping Handrails for Fire

Fighting," IEEE/RSJ Int. Conf. on Intelligent Robots and Sys-

tems, 2001.

[10]Z. M. Ripin, T. B. Soon, A. B. Abdullah, and Z. Samad,

"Development of a Low-Cost Modular Pole Climbing Robot,"

TENCON, 2000.

[11]W. Neubauer, "A Spider-Like Robot That Climbs Vertically in

Ducts or Pipes," IEEE/RSJ/GI Int. Conf. on Intelligent Robots

and Systems, 1994.

[12]K. Iagnemma, A. Rzepniewski, S. Dubowsky, P. Pirjanian, T.

Huntsberger, and P. Schenker, "Mobile Robot Kinematic Re-

configurability for Rough-Terrain," Sensor Fusion and Decen-tralized Control in Robotic Systems III, 2000.

[13]E. Baumgartner, "In-Situ Exploration of Mars Using Rover

Systems," AIAA Space 2000, 2000.

[14]R. Simmons, E. Krotkov, L. Chrisman, F. Cozman, R.

Goodwin, M. Hebert, L. Katragadda, S. Koenig, G. Krishnas-

wamy, Y. Shinoda, W. R. L. Whittager, and P. Klarer, "Experi-ence with Rover Navigation for Lunar-Like Terrains," Intelli-

gent Robots and Systems, 1995.

[15]K. Iagnemma, F. Genot, and S. Dubowsky, "Rapid Physics-

Based Rough-Terrain Rover Planning with Sensor and Control Uncertainty," IEEE Int. Conf. on Robotics and Automation,

1999.

[16]T. Estier, Y. Crausaz, B. Merminod, M. Lauria, R. Pguet, and R.

Siegwart, "An Innovative Space Rover with Extended Climbing Abilities," Space and Robotics, 2000.

[17]J. E. Bares and D. S. Wettergreen, "Dante Ii: Technical

Description, Results and Lessons Learned," Int. J. of Robotics

Research, vol. 18, pp. 621-649, 1999.

[18]J. Long and J. Middendorf, Big Walls: Chockstone Press, Feb

1997.

[19]D. Graydon and K. Hanson, Mountaineering: The Freedom of

the Hills, 6th Rev edition ed: Mountaineers Books, Oct 1997. [20]O. Khatib, "A Unified Approach for Motion and Force Control

of Robot Manipulators: The Operational Space Formulation,"

IEEE J. of Robotics and Automation, vol. RA-3, 1987.

[21]R. Howe, N. Popp, P. Akella, I. Kao, and M. Cutkosky,

"Grasping, Manipulation and Control with Tactile Sensing,"

IEEE Int. Conf. on Robotics and Automation, 1990.

[22]D. Johnston, P. Zhang, J. Hollerbach, and S. Jacobsen, "A Full

Tactile Sensing Suite for Dextrous Robot Hands and Use in

Contact Force Control," IEEE Int. Conf. on Robotics and

Automation, 1996.

[23]F. Reuleaux, The Kinematics of Machinery: Outlines of a

Theory of Machines. London: Macmillan, 1876.

[24]A. Bicchi and V. Kumar, "Robotic Grasping and Contact: A

Review," IEEE Int. Conf. on Robotics and Automation, 2000.

[25]A. Miller, "Graspit!: A Versatile Simulator for Robotic

Grasping," Columbia University, Jun 2001.

[26]K. Shimoga, "Robot Grasp Synthesis Algorithms: A Survey,"

Int. J. of Robotics Research, vol. 15, pp. 230-266, Jun 1996. [27]D. Kirkpatrick, B. Mishra, and C. Yap, "Quantitative Steinitz's

Theorems with Applications to Multifingered Grasping," 20th

ACM Symp. on Theory of Computing, 1990.

[28]Z. Li and S. Sastry, "Task-Oriented Optimal Grasping by

Multifingered Robot Hands," IEEE J. of Robotics and Automa-tion, vol. 4, pp. 32-44, Feb 1988.

[29]C. Ferrari and J. Canny, "Planning Optimal Grasps," IEEE Int.

Conf. on Robotics and Automation, 1992.[30]A. Miller and P. Allen, "Examples of 3d Grasp Quality

Computations," IEEE Int. Conf. on Robotics and Automation,

1999.

[31]J. Long, How to Rock Climb!: Chockstone Press, May 2000.

[32]T. Bretl, S. Rock, and J.-C. Latombe, "Motion Planning for a

Three-Limbed Climbing Robot in Vertical Natural Terrain,"

IEEE Int. Conf. on Robotics and Automation, 2003.

[33]J.-C. Latombe, Robot Motion Planning. Boston, MA: Kluwer

Academic Publishers, 1991.

[34]Y. Golubev and E. Selenskii, "The Locomotion of a Six-Legged

Walking Robot in Horizontal Cylindrical Pipes with Viscous

Friction," J. of Computer and Systems Sciences Int., pp. 349-

356, 2001.

[35]K. i. Nagasaka, H. Inoue, and M. Inaba, "Dynamic Walking

Pattern Generation for a Humanoid Robot Based on Optimal

Gradient Method," IEEE Int. Conf. on Systems, Man, and

Cybernetics, 1999.

[36]M. Berkemeier, "Modeling the Dynamics of Quadrupedal

Running," Int. J. of Robotics Research, vol. 17, Sep 1998. [37]M. Buehler, U. Saranli, D. Papadopoulos, and D. Koditschek,

"Dynamic Locomotion with Four and Six-Legged Robots," Int.

Symp. on Adaptive Motion of Animals and Machines, 2000. [38]M. F. Silva, J. A. T. Machado, and A. M. Lopes, "Performance

Analysis of Multi-Legged Systems," IEEE Int. Conf. on Robot-ics and Automation, 2002.

[39]B. Goodwine and J. Burdick, "Motion Planning for Kinematic

Stratified Systems with Application to Quasi-Static Legged

Locomotion and Finger Gaiting," 4th Int. Workshop on Algo-

rithmic Foundations of Robotics, Mar 2000.

[40]B. Goodwine and J. Burdick, "Controllability of Kinematic

Control Systems on Stratified Configuration Spaces," IEEE Tr.

on Automatic Control, vol. 46, pp. 358-368, 2001.

[41]J.-D. Boissonnat, O. Devillers, and S. Lazard, "Motion Planning

of Legged Robots," SIAM J. on Computing, vol. 30, pp. 218-

246, 2001.

[42]J.-D. Boissonnat, O. Devillers, L. Donati, and F. Preparata,

"Motion Planning of Legged Robots: The Spider Robot Prob-

lem," Int. J. of Computational Geometry and Applications, vol.

5, pp. 3-20, 1995.

[43]J.-D. Boissonnat, O. Devillers, and S. Lazard, "Motion Planning

of Legged Robots," Rapport de Recherche INRIA, vol. 3214,

1997.

[44]S. Kajita and K. Tani, "Study of Dynamic Biped Locomotion on

Rugged Terrain," IEEE Int. Conf. on Robotics and Automation, 1991.

[45]S. Bai, K. H. Low, and M. Y. Teo, "Path Generation of Walking

Machines in 3d Terrain," IEEE Int. Conf. on Robotics and

Automation, 2002.

[46]J. Kuffner, Jr., S. Kagami, K. Nishiwaki, M. Inaba, and H.

Inoue, "Dynamically-Stable Motion Planning for Humanoid

Robots," Autonomous Robots, vol. 12, pp. 105-118, 2002. [47]J. Kuffner, Jr., K. Nishiwaki, S. Kagami, M. Inaba, and H.

Inoue, "Footstep Planning among Obstacles for Biped Robots,"

IEEE/RSJ Int. Conf. on Intelligent Robots and Systems, 2001.

[48]M. Kalisiak and M. v. d. Panne, "A Grasp-Based Motion

Planning Algorithm for Character Animation," Eurographics

Workshop on Computer Animation and Simulation, 2000. [49]R. Alami, J. P. Laumond, and T. Simeon, "Two Manipulation

Planning Algorithms," in Algorithmic Foundations of Robotics, K. Goldberg, D. Halperin, J.-C. Latombe, and R. Wilson, Eds.

Wellesley, MA: A K Peters, 1995, pp. 109-125.

[50]J. Ponce, S. Sullivan, A. Sudsang, J.-D. Boissonnat, and J.-P.

Merlet, "On Computing Four-Finger Equilibrium and Force-

Closure Grasps of Polyhedral Objects," Int. J. of Robotics

Research, vol. 16, pp. 11-35, Feb 1997.

[51]M. Yashima and H. Yamaguchi, "Dynamic Motion Planning

Whole Arm Grasp Systems Based on Switching Contact

Modes," IEEE Int. Conf. on Robotics and Automation, 2002.

雅思历年真题口语题目汇总

雅思历年真题口语题目汇总 version 01old person describe an old man influenced you 1.who was he 2.when did you know him 3.what he did and explain why he influenced you part3 1.老人的经验有什么问题存在? 2.喜欢什么艺术品? 3.给老人拍照片时候注意什么呢? 4.你们国家对老年人是什么态度? 5.你认为这个社会在哪些方面对老年人不太好? 6.老人在你们家有什么影响? 7.你认为老年人在看问题的时候跟年轻人有什么不一样? 8.他们对大家有什么影响? version 02 city 1.where it is located? 2. what special for you? 3. why you want to stay there? part 3 1.please compare 100 hundred years old city and modern city and what predict about the city in the future. 2.上海是个怎样的城市 3.都有那些著名建筑

4.你想为这个城市做些什么? 5.有哪些现象有待提高或者那些提倡 version 03 room part2: 1.what's your favorite room in your home 2.what it likes you live 3.what you do in the room normally and explain why you like it part3: 1.你认识你的邻居吗? 2.城市里的房子和乡村有什么不同? 2003年9月换题后的口语topic Old person Describe a older person you know You should say:Who he or she is How you know him or her How he or she is And explain what infection he or she give you and in what aspect Further question: 1、你们国家对老年人是什么态度? 2、你认为这个社会在哪些方面对老年人不太好? 3、老人在你们家有什么影响? 4、你认为老年人在看问题的时候跟年轻人有什么不一样? 5、他们对大家有什么影响?

完整版初中英语语法大全知识点总结

英语语法大全 初中英语语法 学习提纲 一、词类、句子成分和构词法: 1、词类:英语词类分十种: 名词、形容词、代词、数词、冠词、动词、副词、介词、连词、感叹词。 1、名词(n.):表示人、事物、地点或抽象概念的名称。如:boy, morning, bag, ball, class, orange. :who, she, you, it . 主要用来代替名词。如): 2、代词(pron.3、形容词(adj..):表示人或事物的性质或特征。如:good, right, white, orange . 4、数词(num.):表示数目或事物的顺序。如:one, two, three, first, second, third, fourth. 5、动词(v.):表示动作或状态。如:am, is,are,have,see . 6、副词(adv.):修饰动词、形容词或其他副词,说明时间、地点、程度等。如:now, very, here, often, quietly, slowly. 7、冠词(art..):用在名词前,帮助说明名词。如:a, an, the. 8、介词(prep.):表示它后面的名词或代词与其他句子成分的关系。如in, on, from, above, behind. 9、连词(conj.):用来连接词、短语或句子。如and, but, before . 10、感叹词(interj..)表示喜、怒、哀、乐等感情。如:oh, well, hi, hello. 2、句子成分:英语句子成分分为七种:主语、谓语、宾语、定语、状语、表语、宾语补足语。 1、主语是句子所要说的人或事物,回答是“谁”或者“什么”。通常用名词或代词担任。如:I'm Miss Green.(我是格林小姐) 2、谓语动词说明主语的动作或状态,回答“做(什么)”。主要由动词担任。如:Jack cleans the room every day. (杰克每天打扫房间) 3、表语在系动词之后,说明主语的身份或特征,回答是“什么”或者“怎么样”。通常由名词、 代词或形容词担任。如:My name is Ping ping .(我的名字叫萍萍) 4、宾语表示及物动词的对象或结果,回答做的是“什么”。通常由名词或代词担任。如:He can spell the word.(他能拼这个词) 有些及物动词带有两个宾语,一个指物,一个指人。指物的叫直接宾语,指人的叫间接宾语。间接 宾语一般放在直接宾语的前面。如:He wrote me a letter . (他给我写了 一封信) 有时可把介词to或for加在间接宾语前构成短语,放在直接宾语后面,来强调间接宾语。如:He wrote a letter to me . (他给我写了一封信)

初中英语中主谓一致详解

主谓一致详解 【基础知识】 主谓一致指“人称”和“数”方面的一致关系。对大多数人来说,往往会在掌握主语和随后的谓语动词之间的一致问题上遇到困难。一般情况下,主谓之间的一致关系由以下三个原则支配: 语法一致原则(grammatical concord) 意义一致原则(notional concord) 就近原则(principle of proximity) (一)语法一致原则 用作主语的名词词组中心词和谓语动词在单、复数形式上的一致,就是语法一致。也就是说,如果名词中心词是单数,动词用单数形式;如果名词中心词是复数,动词用复数形式。例如: This table is a genuine antique. Both parties have their own advantages. Her job has something to do with computers. She wants to go home. They are divorcing each other. Mary was watching herself in the mirror. The bird built a nest. Susan comes home every week-end. (二)意义一致原则 有时,主语和谓语动词的一致关系取决于主语的单、复数意义,而不是语法上的单、复数形式,这样的一致关系就是意义一致。例如: Democratic government gradually take the place of an all-powerful monarchy. A barracks was attacked by the guerilla. Mumps is a kind of infectious disease. The United States is a developed country. It is the remains of a ruined palace. The archives was lost.

5.4专家意见修改说明

山东中纤越弘化工科技有限公司5万吨/年硼酸及副产品 3.5万吨/年硝酸钠项目安全设施设计专篇 修改说明 序 号 专家评审意见对应修改情况 1 纠正设计专篇首页及页眉的项目标题错误;明 确设计范围。 已修改首页及页眉的项目标题错误, 改为5万吨/年硼酸及副产品3.5万吨 /年硝酸钠项目;P9对设计范围进行了 修改,明确为生产一车间两条生产线。 2 设计依据补充法律、法规、文件年号;纠 正引用GB50058 等标准、规范的错误;补充《危 险化学品名录》 (2015版)、《化学工业建构筑 物抗震设防分类标准》等依据、HG20571-2014, 依据《危险化学品名录》 (2015版)对涉及的危 险化学品进行辨识及分析;表4.2.3依据标准 按GB50016-2014进行设计;专篇中不应引用《安 全生产法》老版有关规定(P92)。 GB50058去掉爆炸和;对危险化学品辨 识依据改为《危险化学品名录》(2015 版);表 4.2.3中依据标准改为 GB50016-2014;P95-96对涉及的《安 全生产法》按新条款进行了修改。 3 补充项目距离东侧高压线、闲置房防火距 离分析;核实主要建筑物平面布置距离表中生 产车间距离西侧、南侧围墙距离及符合性分析; 补充硝酸罐与道路的间距分析;确定厂内主、 次要道路的宽度。 P28补充与高压线、闲置房的距离及符 合性分析;P55-56对车间距离围墙间 距符合性进行了分析说明;表 4.2.3 补充硝酸罐与道路的间距分析; P56-57对主、次要道路宽度进行说明。 4 核实硝酸用量与储存能力匹配性说明;核 实表2.3中硼酸的存储方式;补充硝酸分解出 二氧化氮气体毒性分析。 P20对硝酸用量与储存能力匹配性进 行了修改说明;修改了表2.3中硼酸 的储存方式为袋装;P40补充了硝酸分 解产生二氧化氮气体的毒性分析。 5 应急救援器材配备表中不应列入个体劳动 防护用品;纠正项目安全生产管理人员设置的 错误。 P87修改了应急器材配备表,删去工作 服等;P80对安全生产管理人员数量进 行修改为专职安全员4人。 6 安全设施一览表中不涉及项目不应下符合 性结论,纠正对安全带数量的统计错误(p117), 明确液位计选型,安全阀、淋洗器数量。补充 腐蚀性管道法兰处防喷溅措施。 P113修改安全设施一览表;补充、修 改安全带数量4条,液位计选型改为 磁翻板液位计、安全阀、淋洗器改为4 个;补充腐蚀性管道法兰处防喷溅措 施(安装防喷溅罩)。 7 纠正工艺流程简述中的错误叙述内容;补 充项目物料平衡设计数据;反应方程式说明吸 放热。 P11修改了工艺流程错误叙述;P13补 充项目物料平衡表;P12反应方程式补 充吸热内容。 8 设计图纸的凉水塔、消防水等公用工程与 设计叙述内容不一致,需核实纠正其错误;补 充消防水管网设计描述,补充事故污水池的设 计叙述内容;补充项目用电负荷设计;补充硝 酸钠仓库的防雷设计。 总平图设计凉水塔两套;P84补充消防 水管网设计描述;P93对事故污水池设 计进行了叙述;P63对用电负荷进行了 说明;P64防雷设计中补充了硝酸钠仓 库防雷内容。

雅思口语真题

IELTS SPEAKING TEST Part 1 Work or study 1.Do you work or are you a student? 2.What subject(s) are you studying? 3.Why did you choose to study that subject? 4.(For high school) Why did you choose those subjects? 5.Is that a popular subject (to study) in your country? 6.Do you think it's popular because people want to gain knowledge or is there some other reason? 7.What are the most popular subjects (= university degree courses = majors) in China? 8.Did your family help you choose that course? 9.What school (or university) do you go to? 10.Why did you choose that university (or, school)? 11.Do you have any recreational or entertainment activities at your school/university? 12.How do you like your subject? 13.What do you like about your subject? 14.Do you think it's important to choose a subject you like? (Why?) 15.(For university students) What are your favourite classes/ courses/ subjects at university? 16.(For high school students) What's your favourite subject at school? 17.Is your subject interesting? (Why? / Why not?) 18.Do you think it's important to choose a subject you are interested in? (Why?) 19.What's the most interesting part of your subject? 20.(For high school) What's the most interesting of your subjects at school? 21.What are your future work plans? (after you graduate) 22.Do you think what you are studying now will be very useful (or, relevant or, important) for this type of work? 23.How will you (or, how do you plan to) get the job you want? 24.Do you think it will be easy to find that kind of work? 25.Why are you taking the IELTS test? 26.In addition to gaining knowledge, what other ways have you benefited from your school/university experience? Accommodation 1.What kind of housing/accommodation do you live in? 2.Who do you live with? 3.How long have you lived there? 4.Do you plan to live there for a long time? 5.Can you describe the place where you live? 6.Which room does your family spend most of the time in? 7.What do you usually do in your house/flat/room? 8.Are the transport facilities to your home very good? 9.Do you prefer living in a house or a flat? 10.Please describe the room you live in. 11.Is there anything you don't like about the place where you live?

雅思历年真题口语题目汇总

雅思历年真题口语题目汇总 version01old person describe an old man influenced you 1.who was he 2.when did you know him 3.what he did and explain why he influeced you part3 1.老人的经验有什么问题存在? 2.喜欢什么艺术品? 3.给老人拍照片时候注意什么呢? 4.你们国家对老年人是什么态度? 5.你认为这个社会在哪些方面对老年人不太好? 6.老人在你们家有什么影响? 7.你认为老年人在看问题的时候跟年轻人有什么不一样? 8.他们对大家有什么影响? version02city 1.where it is located? 2.what special for you? 3.why you want to stay there? part3 1.please compare100hundred years old city and modern city and what predict about the city in the futu re. 2.上海是个怎样的城市 新东方批改网(https://www.doczj.com/doc/f214047856.html,),在线雅思作文批改,雅思口语批改。语法纠错、恶补,制定考试计划,

3.都有那些著名建筑 4.你想为这个城市做些什么? 5.有哪些现象有待提高或者那些提倡 version03room part2: 1.what's your favorite room in your home 2.what it likes you live 3.what you do in the room normally and explain why you like it part3: 1.你认识你的邻居吗? 2.城市里的房子和乡村有什么不同? 2003年9月换题后的口语topic Old person Describe a older person you know You should say:Who he or she is How you know him or her How he or she is And explain what infection he or she give you and in what aspect Further question: 1、你们国家对老年人是什么态度? 2、你认为这个社会在哪些方面对老年人不太好? 3、老人在你们家有什么影响? 新东方批改网(https://www.doczj.com/doc/f214047856.html,),在线雅思作文批改,雅思口语批改。语法纠错、恶补,制定考试计划,

六年级英语语法知识点汇总

六年级语法总复习 一、词汇 (一)一般过去时态 一般过去时态表示在过去的某个时间发生的动作或存在的状态,常和表示过去的时间状语连用。例如yesterday, last weekend ,last Saturday ,等连用。基本句型:主语+动词的过去式+其他。例句——What did you do last weekend?你上周做什么了? ——I played football last weekend.我踢足球了。 ★规则动词过去式的构成 ⒈一般在动词原形末尾加-ed。例如:play—played ⒉词尾是e的动词直接加-d。例如:dance—danced ⒊末尾只有一个辅音字母的重读闭音节词,先双写这个辅音字母,再加-ed。例如stop(停止)--stopped ⒋结尾是“辅音字母+y”的动词,变“y”为“i”,再加-ed,例如:study--studied ★一些不规则变化的动词过去式 am/is—was are—were go—went swim—swam fly—flew do—did have—had say—said see—saw take—took come—came become—became get—got draw—drew hurt—hurt read—read tell—told will—would eat—ate take—took make—made drink—drank sleep(睡觉)—slept cut(切)--cut sit(坐)—sat begin(开始)—began think—thought find—found run(跑)---ran buy—bought win—won give(给)—gave sing—sang leave—left hear(听)--heart wear—wore (二)一般现在时态 一般现在时态表示包括现在时间在内的一段时间内经常发生的动作或存在的状态,表示习惯性或客观存在的事实和真理。常与often ,always ,usually ,sometimes ,every day等连用。基本句型分为两种情况: ●主语(非第三人称)+动词原形+其他。例句:——What do you usually do on the weekend?——I usually do my homework on the weekend. ●主语(第三人称)+动词的第三人称单数形式+其他。例句: ——What does Sarah usually do on the weekend?萨拉通常在周末干什么? ——She usually does her homework on the weekend.她通常在周末做她的家庭作业。 ★动词第三人称单数形式的变化规则 ⒈一般直接在动词词尾加-s.例如:play—plays ⒉以s ,x ,ch,sh结尾的动词加-es。例如:watch—watches ⒊以辅音字母加y结尾的动词,变y为i,再加es,例如:fly—flies ⒋个别不规则变化动词,需单独记忆,例如:do—does go—goes (三)现在进行时态 现在进行时态表示说话人现在正在进行的动作。基本句型:主语+be+动词的-ing+其他。 例如:——What are you doing ?你在干什么? ——I am doing my homework..我正在做作业。 ★动词现在分词的变化规则 ⒈一般直接在词尾加ing ,例如;wash—washing ⒉以不发音e字母结尾的动词,去掉e ,再加ing.例如:make—making ⒊末尾只有一个辅音字母的重读闭音节词,要双写最后一个辅音字母再加ing.例如swim—swimming (四)一般将来时态 一般将来时态表示将来某一时间或某一段时间内发生的动作或存在的状态。常与表示将来的时间如tomorrow ,next weeken ,this afternoon 等连用。我们通常用will,be going to+动词原形来表示一般将来时态。

l主谓一致讲解最全面主谓一致讲解

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专家意见模板

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