We present a generalized version of the Saturation in the Null Space (SNS) algorithm for the task control of redundant robots when hard inequality constraints are simultaneously present both in the joint and in the Cartesian space. These hard bounds should never be violated, are treated equally and in a unified way by the algorithm, and may also be varied, inserted or deleted online. When a joint/Cartesian bound saturates, the robot redundancy is exploited to continue fulfilling the primary task. If no feasible solution exists, an optimal scaling procedure is applied to enforce directional consistency with the original task. Simulation and experimental results on different robotic systems demonstrate the efficiency of the approach.
2022, IEEE ROBOTICS AND AUTOMATION LETTERS, Pages 9279-9286 (volume: 7)
Kinematic Control of Redundant Robots with Online Handling of Variable Generalized Hard Constraints (01a Articolo in rivista)
Kazemipour Amirhossein, Khatib MARAM I M, Al Khudir Khaled, Gaz CLAUDIO ROBERTO, DE LUCA Alessandro