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This paper considers the kinematics of hyper-redundant (or "serpentine") robot locomotion over uneven solid terrain, and presents algorithms to implement a variety of "gaits". The analysis and algorithms are based on a continuous backbone curve model which captures the robot's macroscopic geometry. Two classes of gaits, based on stationary waves and traveling waves of mechanism deformation, are introduced for hyper-redundant robots of both constant and variable length. We also illustrate how the locomotion algorithms can be used to plan the manipulation of objects which are grasped in a tentacle-like manner. Several of these gaits and the manipulation algorithm have been implemented on a 30 degree-of-freedom hyper-redundant robot. Experimental results are presented to demonstrate and validate these concepts and our modeling assumptions.
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Gregory S. Chirikjian
National University of Singapore
Joel W. Burdick
California Institute of Technology
IEEE Transactions on Robotics and Automation
Johns Hopkins University
California Institute of Technology
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Chirikjian et al. (Sun,) studied this question.
synapsesocial.com/papers/6a155ccf814bf8ec9a4e7926 — DOI: https://doi.org/10.1109/70.478426