Abstract
Hyper-Redundant robots have a large or infinite degree of kinematic redundancy. This paper reviews some simple hyper-redundant robot modeling and task planning techniques. These methods are based on a ‘backbone curve’ that captures the robot’s macroscopic geometric features. The inverse kinematic, or ‘hyper-redundancy resolution,’ problem reduces to determining the time varying backbone curve behavior. ‘Modal’ and ‘optimal’ hyper-redundancy resolution methods are reviewed. In addition to end-effector placement, we also consider how the backbone curve model can be used to implement locomotion and tentacle-like grasping. These ideas have been implemented on a 30 degree-of-freedom robot prototype.
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Burdick, J.W., Chirikjian, G.S. (1998). The Kinematics of Hyper-Redundant Robots. In: Baillieul, J., Sastry, S.S., Sussmann, H.J. (eds) Essays on Mathematical Robotics. The IMA Volumes in Mathematics and its Applications, vol 104. Springer, New York, NY. https://doi.org/10.1007/978-1-4612-1710-7_3
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DOI: https://doi.org/10.1007/978-1-4612-1710-7_3
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