Energy-aware adaptive impedance control using offline task-based optimization
2021 20th International Conference on Advanced Robotics (ICAR)(2021)
摘要
Robotic tasks involving interaction with an environment are commonly addressed by means of impedance control. Under the framework of energy-aware robotics, and motivated by evidence that many tasks benefit from variable impedance, we leverage a geometric formulation of an impedance controlled manipulator with time-varying impedance, to design an optimisation problem able to produce an open-loop, task-based control action. A feedback controller accounts for model variations and disturbances from the nominal task and completes the control strategy. Beyond achieving passivity by means of energy tanks, a novel energy budgeting protocol ensures safety along task execution. Simulations on a 5-DoF robot executing a peg-in-hole task validate the approach.
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