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IROS 2022

Optimal Nonprehensile Interception Strategy for Objects in Flight

Conference Paper Accepted Paper Artificial Intelligence ยท Robotics

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

  • Three-dimensional displays
  • Trajectory tracking
  • Computational modeling
  • Heuristic algorithms
  • Force
  • Dynamics
  • Optimal control
  • Translational Motion
  • Object Motion
  • Trajectory Optimization
  • Position Trajectory
  • Trajectory Generation
  • Robot Trajectory
  • Angular Velocity
  • Ordinary Differential Equations
  • Friction Coefficient
  • Dynamic Balance
  • Termination Condition
  • Quadratic Programming
  • Contact Force
  • Tracking Control
  • Linear Velocity
  • Terminal Time
  • Coefficients In Eq
  • Optimal Force
  • Object Velocity
  • Optimal Control Theory
  • Object Trajectory
  • Optimal Contact
  • Costate
  • 3D Environment
  • Reachable
  • Velocity Direction
  • Rotation Axis

Context

Venue
IEEE/RSJ International Conference on Intelligent Robots and Systems
Archive span
1988-2025
Indexed papers
26578
Paper id
692271014932787697
v2026.09.13