ROJun 18, 2019

Whole-Body Control with (Self) Collision Avoidance using Vector Field Inequalities

arXiv:1906.07322v237 citations
Originality Incremental advance
AI Analysis

This work addresses collision avoidance for both velocity and torque-actuated robots, which is an incremental improvement over previous methods.

The paper tackles the problem of preventing robot self-collisions and workspace collisions using vector field inequalities, proposing a new distance function and Jacobian to limit angles between Plücker lines, and demonstrates that all constraints are respected in both simulation and on a real humanoid robot during manipulation tasks.

This work uses vector field inequalities (VFI) to prevent robot self-collisions and collisions with the workspace. Differently from previous approaches, the method is suitable for both velocity and torque-actuated robots. We propose a new distance function and its corresponding Jacobian in order to generate a VFI to limit the angle between two Plücker lines. This new VFI is used to prevent both undesired end-effector orientations and violation of joints limits. The proposed method is evaluated in a realistic simulation and on a real humanoid robot, showing that all constraints are respected while the robot performs a manipulation task.

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