PaperSwipe

Simultaneous Control and Trajectory Estimation for Collision Avoidance of Autonomous Robotic Spacecraft Systems

Published 3 years agoVersion 1arXiv:2204.13251

Authors

Matthew King-Smith, Panagiotis Tsiotras, Frank Dellaert

Categories

cs.RO

Abstract

We propose factor graph optimization for simultaneous planning, control, and trajectory estimation for collision-free navigation of autonomous systems in environments with moving objects. The proposed online probabilistic motion planning and trajectory estimation navigation technique generates optimal collision-free state and control trajectories for autonomous vehicles when the obstacle motion model is both unknown and known. We evaluate the utility of the algorithm to support future autonomous robotic space missions.

Simultaneous Control and Trajectory Estimation for Collision Avoidance of Autonomous Robotic Spacecraft Systems

3 years ago
v1
3 authors

Categories

cs.RO

Abstract

We propose factor graph optimization for simultaneous planning, control, and trajectory estimation for collision-free navigation of autonomous systems in environments with moving objects. The proposed online probabilistic motion planning and trajectory estimation navigation technique generates optimal collision-free state and control trajectories for autonomous vehicles when the obstacle motion model is both unknown and known. We evaluate the utility of the algorithm to support future autonomous robotic space missions.

Authors

Matthew King-Smith, Panagiotis Tsiotras, Frank Dellaert

arXiv ID: 2204.13251
Published Apr 28, 2022

Click to preview the PDF directly in your browser