Legged robots that balance
Perception, planning, and control for autonomous walking with the Ambler planetary rover
International Journal of Robotics Research
Realistic animation of legged running on rough terrain
CA '95 Proceedings of the Computer Animation
A Reflexive Neural Network for Dynamic Biped Walking Control
Neural Computation
Control Strategy for the Robust Dynamic Walk of a Biped Robot
International Journal of Robotics Research
Simulating balance recovery responses to trips based on biomechanical principles
Proceedings of the 2009 ACM SIGGRAPH/Eurographics Symposium on Computer Animation
Compliant terrain adaptation for biped humanoids without measuring ground surface and contact forces
IEEE Transactions on Robotics
Feedback control of humanoid robot locomotion
FSKD'05 Proceedings of the Second international conference on Fuzzy Systems and Knowledge Discovery - Volume Part I
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Many robot applications require legged robots to traverse rough orunmodeled terrain. This paper explores strategies that would enablelegged robots to respond to two common types of surface contacterror: slipping and tripping. Because of the rapid response requiredand the difficulty of sensing uneven terrain, we propose a set ofreflexes that would permit the robot to react without modeling oranalyzing the error condition in detail. These reflexive responsesallow robust recovery from a variety of contact errors. We presentsimulation trials for single-slip tasks with varying coefficients offriction and single-trip tasks with varying obstacle heights.