Analytic Bipedal Walking with Fused Angles and Corrective Actions in the Tilt Phase Space
Philipp Allgeuer

TL;DR
This paper introduces algorithms for stabilizing bipedal robot walking using fused angles and corrective actions, supported by new 3D rotation representations, to improve control despite nonlinearities and sensor limitations.
Contribution
It presents novel feedback gait algorithms utilizing fused angles and tilt phase space, along with new rotation representations for enhanced stability control.
Findings
Developed two stable gait control methods: fused angle feedback and tilt phase controller.
Implemented corrective actions to modify joint trajectories and improve balance.
Achieved improved walking stability on bipedal humanoid robots.
Abstract
This work presents algorithms for the feedback-stabilised walking of bipedal humanoid robotic platforms, along with the underlying theoretical and sensorimotor frameworks required to achieve it. Bipedal walking is inherently complex and difficult to control due to the high level of nonlinearity and significant number of degrees of freedom of the concerned robots, the limited observability and controllability of the corresponding states, and the combination of imperfect actuation with less-than-ideal sensing. The presented methods deal with these issues in a multitude of ways, ranging from the development of an actuator control and feed-forward compensation scheme, to the inclusion of filtering in almost all of the gait stabilisation feedback pipelines. Two gaits are developed and investigated, the direct fused angle feedback gait, and the tilt phase controller. Both gaits follow the…
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Taxonomy
TopicsRobotic Locomotion and Control · Prosthetics and Rehabilitation Robotics · Balance, Gait, and Falls Prevention
