A unified taxonomy and benchmarking of singularity-robust inverse kinematics methods shows hybrid classical-learning solvers outperform pure learning methods on the Franka Panda robot across error, velocity, robustness, and cost metrics.
Kinematic control of redundant manipulators: Generalizing the task-priority framework to inequality task
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A CBF-based hierarchical quadratic programming framework enables flexible prioritization of safety and performance tasks for safe physical human-robot interaction, demonstrated on a real redundant robot.
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Singularity Avoidance in Inverse Kinematics: A Unified Treatment of Classical and Learning-based Methods
A unified taxonomy and benchmarking of singularity-robust inverse kinematics methods shows hybrid classical-learning solvers outperform pure learning methods on the Franka Panda robot across error, velocity, robustness, and cost metrics.
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Control Barrier Functions Solved with Hierarchical Quadratic Programming for Safe Physical Human-Robot Interaction
A CBF-based hierarchical quadratic programming framework enables flexible prioritization of safety and performance tasks for safe physical human-robot interaction, demonstrated on a real redundant robot.