A 100 Hz reactive model predictive contouring controller with control barrier functions lets robot arms follow paths while avoiding obstacles, singularities, and self-collisions.
A Purely-Reactive Manipulability-Maximising Motion Controller
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abstract
We present a novel approach to controlling the instantaneous velocity of a robot end-effector that is able to simultaneously maximise manipulability and avoid joint limits. It operates on non-redundant and redundant robots, which is achieved by adding artificial redundancy in the form of controlled path deviation. We formulate the problem as a quadratic programme and provide an open-source Python implementation that provides solutions in just a few milliseconds. It accepts a robot model expressed using URDF or Denavit-Hartenberg parameterisation. We compare our method to previous work in simulation and on a physical robot.
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cs.RO 1years
2025 1verdicts
UNVERDICTED 1representative citing papers
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Reactive Model Predictive Contouring Control for Robot Manipulators
A 100 Hz reactive model predictive contouring controller with control barrier functions lets robot arms follow paths while avoiding obstacles, singularities, and self-collisions.