Mobility Strategy of Multi-Limbed Climbing Robots for Asteroid Exploration

Ribeiro, Warley F. R., Uno, Kentaro, Imai, Masazumi, Murase, Koki, Yalçın, Barış Can, Hariry, Matteo El, Olivares-Mendez, Miguel A., Yoshida, Kazuya

arXiv.org Artificial Intelligence 

Mobility on asteroids by multi-limbed climbing robots is expected to achieve our exploration goals in such challenging environments. We propose a mobility strategy to improve the locomotion safety of climbing robots in such harsh environments that picture extremely low gravity and highly uneven terrain. Our method plans the gait by decoupling the base and limbs' movements and adjusting the main body pose to avoid ground collisions. The proposed approach includes a motion planning that reduces the reactions generated by the robot's movement by optimizing the swinging trajectory and distributing the momentum. Lower motion reactions decrease the pulling forces on the grippers, avoiding the slippage and flotation of the robot. Dynamic simulations and experiments demonstrate that the proposed method could improve the robot's mobility on the surface of asteroids.

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