Safe Adaptive Switching among Dynamical Movement Primitives: Application to 3D Limit-Cycle Walkers
October 01, 2018 Β· Declared Dead Β· π IEEE International Conference on Robotics and Automation
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Authors
Sushant Veer, Ioannis Poulakakis
arXiv ID
1810.00527
Category
cs.RO: Robotics
Cross-listed
eess.SY
Citations
16
Venue
IEEE International Conference on Robotics and Automation
Last Checked
4 months ago
Abstract
Complex motions for robots are frequently generated by switching among a collection of individual movement primitives. We use this approach to formulate robot motion plans as sequences of primitives to be executed one after the other. When dealing with dynamical movement primitives, besides accomplishing the high-level objective, planners must also reason about the effect of the plan's execution on the safety of the platform. This task becomes more daunting in the presence of disturbances, such as external forces. To alleviate this issue, we present a framework that builds on rigorous control-theoretic tools to generate safely-executable motion plans for externally excited robotic systems. Our framework is illustrated on a 3D limit-cycle gait bipedal robot that adapts its walking pattern to persistent external forcing.
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