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Toward Autonomous Free-Climbing Robots

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Presentation on theme: "Toward Autonomous Free-Climbing Robots"— Presentation transcript:

1 Toward Autonomous Free-Climbing Robots
Tim Bretl Jean-Claude Latombe Stephen Rock Special thanks to Eric Baumgartner, Brett Kennedy, and Hrand Aghazarian at the Planetary Robotics Lab, NASA-JPL

2 Goal Develop integrated control, planning, and sensing capabilities to enable a wide class of multi-limbed robots to climb steep natural terrain. Free-climbing vs. aid-climbing Talk about applications

3 Generic vs. Specific Robot
Free-climbing vs. aid-climbing Talk about applications LEMUR IIb, Planetary Robotics Lab, NASA-JPL Sitti and Fearing, UC Berkeley

4 Previous Multi-Limbed Climbing Robots
Each exploits a specific surface property Free-climbing vs. aid-climbing Talk about applications Neubauer, 1994 NINJA II Hirose et al, 1991 Yim, PARC, 2002

5 Free Rock Climbing is about Natural Friction …

6 … and Non-Gaited Motion
Spend some time here explaining your problem in a bit more technical detail. (Basically, take this from Section 3.1 of your ISRR paper, leading up to the description of the One-Step Climbing Problem, which you can state with the next slide.) Also, here is where you can mention the similarities to re-grasping in a multi-finger hand, and to motion-planning methods for track and legged robots.

7 it is a problem-solving activity
Overall, rock climbing is about how to apply strength, not about strength itself it is a problem-solving activity

8 Example System Spend some time here explaining your problem in a bit more technical detail. (Basically, take this from Section 3.1 of your ISRR paper, leading up to the description of the One-Step Climbing Problem, which you can state with the next slide.) Also, here is where you can mention the similarities to re-grasping in a multi-finger hand, and to motion-planning methods for track and legged robots.

9 Equilibrium Constraint
Free-climbing vs. aid-climbing Talk about applications Feasible positions of robot’s center of mass

10 Configuration Space For each combination of knee bends:
Position (xP,yP) of pelvis Joint angles (q1,q2) of free limb

11 Feasible Space q2 q1 -p p Free-climbing vs. aid-climbing
Talk about applications

12 Feasible Space Simple test for the feasibility of (xp,yp) where…
Free-climbing vs. aid-climbing Talk about applications

13 Feasible Space Qf Simple test for the feasibility of (xp,yp)
Feasible (1,2) varying with (xp,yp), in one half of f Qf Free-climbing vs. aid-climbing Talk about applications where…

14 Feasible Space Simple test for the feasibility of (xp,yp)
Feasible (1,2), varying with (xp,yp), in one half of f Switching between halves of f Free-climbing vs. aid-climbing Talk about applications

15 Motion Planning Basic Approach (Probabilistic Roadmap)
Sample 4D configuration space Check equilibrium condition Check (self-)collision Check torque limit Refined approach Sample 2D pelvis space, lift to full 4D paths Narrow passages are found in the 4D space Free-climbing vs. aid-climbing Talk about applications

16 Achieve q2=0 Move with q2=0 Switch between halves of Qf Move to goal

17 backstep highstep lieback

18 JPL’s LEMUR robot

19

20 Current Work Terrain sensing and hold detection
Force control and slippage sensing Uncertainty (hold location, limb positioning) Motion optimization Extension of feasible space analysis

21 What’s Next? Xtreme ironing ? >>> X

22 Xtreme ironing is one of the fastest-growing sports in the world

23


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