Motion planning for mobile robots—Focusing on deep reinforcement learning: A systematic review

H Sun, W Zhang, R Yu, Y Zhang - IEEE Access, 2021 - ieeexplore.ieee.org
Mobile robots contributed significantly to the intelligent development of human society, and
the motion-planning policy is critical for mobile robots. This paper reviews the methods …

Distributed motion coordination for multirobot systems under LTL specifications

P Yu, DV Dimarogonas - IEEE Transactions on Robotics, 2021 - ieeexplore.ieee.org
This article investigates the online motion coordination problem for a group of mobile robots
moving in a shared workspace, each of which is assigned a linear temporal logic …

Priority-based distributed coordination for heterogeneous multi-robot systems with realistic assumptions

M Cecchi, M Paiano, A Mannucci… - IEEE Robotics and …, 2021 - ieeexplore.ieee.org
A standing challenge in current intralogistics is to reliably, effectively, yet safely coordinate
large-scale, heterogeneous multi-robot fleets without posing constraints on the infrastructure …

Decentralized Multi-agent Coordination under MITL Specifications and Communication Constraints

W Wang, GF Schuppe, J Tumova - 2023 31st Mediterranean …, 2023 - ieeexplore.ieee.org
We propose a decentralized solution for high-level multi-agent task planning problems in
environments considering communication network failure. In particular, we consider that …

Decentralized multi-agent coordination under MITL tasks and communication constraints

W Wang, GF Schuppe, J Tumova - 2022 ACM/IEEE 13th …, 2022 - ieeexplore.ieee.org
We propose a decentralized framework to solve a coordination problem for multiagent
systems consisting of heterogeneous agents, each of which uses only local information …

[引用][C] 移动机器人运动规划中的深度强化学习方法

孙辉辉, 胡春鹤, 张军国 - 控制与决策, 2021