climbing robots

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By: Senex (17 month(s) ago)

The idea of ironing my climbing dressing just in time is interesting. I do non realize how the electric power could br available in that places. Anyway, the pictures are really spectacular. Good by, Senex

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Toward Autonomous Free-Climbing Robots: 

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

Goal: 

Goal Develop integrated control, planning, and sensing capabilities to enable a wide class of multi-limbed robots to climb steep natural terrain.

Generic vs. Specific Robot: 

LEMUR IIb, Planetary Robotics Lab, NASA-JPL Generic vs. Specific Robot Generic Specific Sitti and Fearing, UC Berkeley

Previous Multi-Limbed Climbing Robots: 

Previous Multi-Limbed Climbing Robots Each exploits a specific surface property NINJA II Hirose et al, 1991 Neubauer, 1994 Yim, PARC, 2002

Free Rock Climbing is about Natural Friction …: 

Free Rock Climbing is about Natural Friction …

… and Non-Gaited Motion: 

… and Non-Gaited Motion Gaited Non-Gaited

Slide7: 

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

Example System: 

Example System

Equilibrium Constraint: 

Equilibrium Constraint Feasible positions of robot’s center of mass

Configuration Space: 

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

Feasible Space: 

Feasible Space

Slide12: 

Simple test for the feasibility of (xp,yp) where… Feasible Space

Slide13: 

Simple test for the feasibility of (xp,yp) Feasible (1,2) varying with (xp,yp), in one half of f where… Qf Feasible Space

Slide14: 

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 Feasible Space

Motion Planning: 

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

Slide16: 

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

Slide17: 

backstep highstep lieback

Slide18: 

JPL’s LEMUR robot

Current Work: 

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

What’s Next?: 

What’s Next? Xtreme ironing

Slide22: 

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