Fast Joint Multi-Robot Trajectory Optimization by GPU Accelerated Batch Solution of Distributed Sub-Problems

We present a joint multi-robot trajectory optimizer that can compute trajectories for tens of robots in aerial swarms within a small fraction of a second. The computational efficiency of our approach is built on breaking the per-iteration computation of the joint optimization into smaller, decoupled...

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Bibliographic Details
Main Authors: Dipanwita Guhathakurta, Fatemeh Rastgar , M. Aditya Sharma , K. Madhava Krishna , Arun Kumar Singh 
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-07-01
Series:Frontiers in Robotics and AI
Subjects:
Online Access:https://www.frontiersin.org/articles/10.3389/frobt.2022.890385/full