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Title:Trajectory generation for dynamic bipedal walking through qualitative model based manifold learning
Authors: Subramanian Ramamoorthy ; Benjamin Kuipers
Date:Jun 2008
Publication Title:IEEE International Conference on Robotics and Automation, 2008. ICRA 2008.
Publication Type:Conference Paper Publication Status:Published
Page Nos:359-366
DOI:10.1109/ROBOT.2008.4543234 ISBN/ISSN:978-1-4244-1646-2
Abstract:
Legged robots represent great promise for transport in unstructured environments. However, it has been difficult to devise motion planning strategies that achieve a combination of energy efficiency, safety and flexibility comparable to legged animals. In this paper, we address this issue by presenting a trajectory generation strategy for dynamic bipedal walking robots using a factored approach to motion planning - combining a low-dimensional plan (based on intermittently actuated passive walking in a compass-gait biped) with a manifold learning algorithm that solves the problem of embedding this plan in the high-dimensional phase space of the robot. This allows us to achieve task level control (over step length) in an energy efficient way - starting with only a coarse qualitative model of the system dynamics and performing a data-driven approximation of the dynamics in order to synthesize families of dynamically realizable trajectories. We demonstrate the utility of this approach with simulation results for a multi-link legged robot.
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Bibtex format
@InProceedings{EDI-INF-RR-1279,
author = { Subramanian Ramamoorthy and Benjamin Kuipers },
title = {Trajectory generation for dynamic bipedal walking through qualitative model based manifold learning},
book title = {IEEE International Conference on Robotics and Automation, 2008. ICRA 2008.},
year = 2008,
month = {Jun},
pages = {359-366},
doi = {10.1109/ROBOT.2008.4543234},
url = {http://ieeexplore.ieee.org/iel5/4534525/4543169/04543234.pdf?tp=&isnumber=4543169&arnumber=4543234},
}


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