IROS 2022
Optimal Nonprehensile Interception Strategy for Objects in Flight
Abstract
Intercepting an object in flight through nonpre-hensile manipulation is a challenging problem, which is aimed at catching and stopping a flying object using little contacts without completely restraining its relative motion to the robot. This paper presents a two-stage optimal trajectory generation method to tackle this problem. At the pre-catching stage, optimal position and attitude trajectories of the robot's end-effector to approach the object are generated by a variational method. At the post-catching stage, the end-effector's trajectories are generated to optimally eliminate the translational and rotational motion of the object and a convex-MPC algorithm combined with admittance control is used to realize the trajectory tracking. A series of simulations and experiments have been conducted to verify the effectiveness of the proposed method.
Authors
Keywords
Context
- Venue
- IEEE/RSJ International Conference on Intelligent Robots and Systems
- Archive span
- 1988-2025
- Indexed papers
- 26578
- Paper id
- 692271014932787697