Federated Reinforcement Learning for Collective Navigation of Robotic Swarms

2 February 2022

Papers citing "Federated Reinforcement Learning for Collective Navigation of Robotic Swarms"

8 / 8 papers shown

Title
FLAME: A Federated Learning Benchmark for Robotic Manipulation Santiago Bou Betran A. Longhini Miguel Vasco Yuchong Zhang Danica Kragic 67 0 0 03 Mar 2025
Fed-EC: Bandwidth-Efficient Clustering-Based Federated Learning For Autonomous Visual Robot Navigation Shreya Gummadi M. V. Gasparino Deepak Vasisht Girish Chowdhary FedML 35 1 0 06 Nov 2024
SPACE: A Python-based Simulator for Evaluating Decentralized Multi-Robot Task Allocation Algorithms Inmo Jang 20 0 0 06 Sep 2024
Securing Federated Learning in Robot Swarms using Blockchain Technology Alexandre Pacheco Sébastien De Vos Andreagiovanni Reina Marco Dorigo Volker Strobel 23 0 0 03 Sep 2024
Sim-to-Real Deep Reinforcement Learning with Manipulators for Pick-and-place Wenxing Liu Hanlin Niu R. Skilton Joaquin Carrasco 22 1 0 17 Sep 2023
Client Selection for Federated Policy Optimization with Environment Heterogeneity Zhijie Xie S. H. Song 11 3 0 18 May 2023
System for multi-robotic exploration of underground environments CTU-CRAS-NORLAB in the DARPA Subterranean Challenge Tomáš Rouček M. Pecka P. Čížek T. Petříček J. Bayer ... J. Faigl Karel Zimmermann M. Saska Tomáš Svoboda T. Krajník 53 35 0 12 Oct 2021
Deep Reinforcement Learning for Autonomous Driving: A Survey B. R. Kiran Ibrahim Sobh V. Talpaert Patrick Mannion A. A. Sallab S. Yogamani P. Pérez 143 1,628 0 02 Feb 2020