Title
Optimal Sequential Task Assignment and Path Finding for Multi-Agent Robotic Assembly Planning
Abstract
We study the problem of sequential task assignment and collision-free routing for large teams of robots in applications with inter-task precedence constraints (e.g., task A and task B must both be completed before task C may begin). Such problems commonly occur in assembly planning for robotic manufacturing applications, in which sub-assemblies must be completed before they can be combined to form the final product. We propose a hierarchical algorithm for computing makespan-optimal solutions to the problem. The algorithm is evaluated on a set of randomly generated problem instances where robots must transport objects between stations in a "factory" grid world environment. In addition, we demonstrate in high-fidelity simulation that the output of our algorithm can be used to generate collision-free trajectories for non-holonomic differential-drive robots.
Year
DOI
Venue
2020
10.1109/ICRA40945.2020.9197527
2020 IEEE International Conference on Robotics and Automation (ICRA)
Keywords
DocType
Volume
nonholonomic differential-drive robots,optimal sequential task assignment,collision-free trajectories,robotic manufacturing,collision-free routing,multiagent robotic assembly planning,path finding
Conference
2020
Issue
ISSN
ISBN
1
1050-4729
978-1-7281-7396-2
Citations 
PageRank 
References 
0
0.34
9
Authors
5
Name
Order
Citations
PageRank
Kyle A. Brown103.04
Peltzer Oriana200.34
Sehr, A.3834.28
Mac Schwager493072.33
Mykel J. Kochenderfer542368.51