DeepMNavigate: Deep Reinforced Multi-Robot Navigation Unifying Local &
Global Collision Avoidance

DeepMNavigate: Deep Reinforced Multi-Robot Navigation Unifying Local & Global Collision Avoidance

4 October 2019

Tingxiang Fan

Jia Pan

Papers citing "DeepMNavigate: Deep Reinforced Multi-Robot Navigation Unifying Local & Global Collision Avoidance"

6 / 6 papers shown

Title
Rule-Based Lloyd Algorithm for Multi-Robot Motion Planning and Control with Safety and Convergence Guarantees Manuel Boldrer Álvaro Serra-Gómez Lorenzo Lyons Vít Krátký Javier Alonso-Mora Laura Ferranti 81 4 0 30 Oct 2023
DMCA: Dense Multi-agent Navigation using Attention and Communication Senthil Hariharan Arul Amrit Singh Bedi Tianyi Zhou 40 3 0 14 Sep 2022
DC-MRTA: Decentralized Multi-Robot Task Allocation and Navigation in Complex Environments Aakriti Agrawal Senthil Hariharan Amrit Singh Bedi Tianyi Zhou 27 12 0 07 Sep 2022
Deep Reinforcement Learning based Robot Navigation in Dynamic Environments using Occupancy Values of Motion Primitives Neset Unver Akmandor Hongyu Li Gary Lvov Eric Dusel T. Padır 31 8 0 17 Aug 2022
Motion Planning Among Dynamic, Decision-Making Agents with Deep Reinforcement Learning Michael Everett Yu Fan Chen Jonathan P. How 146 509 0 04 May 2018
Decentralized Non-communicating Multiagent Collision Avoidance with Deep Reinforcement Learning Yu Fan Chen Miao Liu Michael Everett Jonathan P. How 187 583 0 26 Sep 2016