Research
Robotics Research Publications
An open index of robotics research papers, refreshed daily.
papers in the database
SWARM papers(1,123)
Clear ✕Evolving Multi-Objective Neural Network Controllers for Robot Swarms
Karl Mason, Sabine Hauert
2023
Learning Decentralized Partially Observable Mean Field Control for Artificial Collective Behavior
Kai Cui, Sascha Hauck, Christian Fabian +1 more
2023
RoCo: Dialectic Multi-Robot Collaboration with Large Language Models
Zhao Mandi, Shreeya Jain, Shuran Song
2023
Learning to Identify Graphs from Node Trajectories in Multi-Robot Networks
Eduardo Sebastian, Thai Duong, Nikolay Atanasov +2 more
2023
GIRA: Gaussian Mixture Models for Inference and Robot Autonomy
Kshitij Goel, Wennie Tabib
2023
Mixed Integer Programming for Time-Optimal Multi-Robot Coverage Path Planning with Efficient Heuristics
Jingtao Tang, Hang Ma
2023
Navigation of micro-robot swarms for targeted delivery using reinforcement learning
Akshatha Jagadish, Manoj Varma
2023
Decentralized Multi-Robot Formation Control Using Reinforcement Learning
Juraj Obradovic, Marko Krizmancic, Stjepan Bogdan
2023
Decentralized Multi-Agent Reinforcement Learning with Global State Prediction
Joshua Bloom, Pranjal Paliwal, Apratim Mukherjee +1 more
2023
SEAL: Simultaneous Exploration and Localization in Multi-Robot Systems
Ehsan Latif, Ramviyas Parasuraman
2023
QuadSwarm: A Modular Multi-Quadrotor Simulator for Deep Reinforcement Learning with Direct Thrust Control
Zhehui Huang, Sumeet Batra, Tao Chen +7 more
2023
Decentralized Social Navigation with Non-Cooperative Robots via Bi-Level Optimization
Rohan Chandra, Rahul Menon, Zayne Sprague +2 more
2023
Contribution à l'Optimisation d'un Comportement Collectif pour un Groupe de Robots Autonomes
Amine Bendahmane
2023
The Viability of Domain Constrained Coalition Formation for Robotic Collectives
Grace Diehl, Julie A. Adams
2023
Learning to Navigate in Turbulent Flows with Aerial Robot Swarms: A Cooperative Deep Reinforcement Learning Approach
Diego Patiño, Siddharth Mayya, Juan Calderon +2 more
2023
Multi-Robot Path Planning Combining Heuristics and Multi-Agent Reinforcement Learning
Shaoming Peng
2023
Communication-Efficient Reinforcement Learning in Swarm Robotic Networks for Maze Exploration
Ehsan Latif, WenZhan Song, Ramviyas Parasuraman
2023
Formal Modelling for Multi-Robot Systems Under Uncertainty
Charlie Street, Masoumeh Mansouri, Bruno Lacerda
2023
Bandit Submodular Maximization for Multi-Robot Coordination in Unpredictable and Partially Observable Environments
Zirui Xu, Xiaofeng Lin, Vasileios Tzoumas
2023
Multi-Robot Coordination and Layout Design for Automated Warehousing
Yulun Zhang, Matthew C. Fontaine, Varun Bhatt +2 more
2023
System Neural Diversity: Measuring Behavioral Heterogeneity in Multi-Agent Learning
Matteo Bettini, Ajay Shankar, Amanda Prorok
2023
Double-Deck Multi-Agent Pickup and Delivery: Multi-Robot Rearrangement in Large-Scale Warehouses
Baiyu Li, Hang Ma
2023
Leveraging Human Feedback to Evolve and Discover Novel Emergent Behaviors in Robot Swarms
Connor Mattson, Daniel S. Brown
2023
Artificial Collective Intelligence Engineering: a Survey of Concepts and Perspectives
Roberto Casadei
2023