Efficient Inverse Kinematics for Redundant Manipulators with Collision Avoidance in Dynamic Scenes
2018
We present a novel iterative algorithm for inverse kinematics of redundant manipulators in dynamic environments. Our approach uses an iterative approach to generate valid configurations and selects an inverse kinematics solution using a rank-based selection strategy. To avoid the moving obstacles, we combine our inverse kinematics method with a collision avoidance scheme. We highlight the performance of our algorithm on different high DOF manipulators in a dynamic scene.
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