Multi-Robot Coordination

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34 papers in the last four weeks, up 467% on the four weeks before. 0.3% of all new papers.

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A Multi-Operator Mixed-Reality Interface for Multi-Robot Control and Coordination: Co-Located and Private Workspace Collaboration
Jun 5, 2026Omotoye Shamsudeen Adekoya, Antonio Sgorbissa, Carmine Tommaso RecchiutoRobot Teleoperation Multi-Robot Coordination
DIBRIS Department, RICE Laboratory, University of Genoa, Italy
Multi-Robot Planning and Control from CCTV Camera Networks in a Real Warehouse
Jun 4, 2026Luke Robinson, Benjamin Ramtoula, Anas Izaaryene +2Robotic Control Multi-Robot Motion Planning
Oxford Robotics Institute, University of Oxford, UK · Robot Systems Group, Technical University of Munich, Germany
Merging model-based control with multi-agent reinforcement learning for multi-agent cooperative teaming strategies
Jun 4, 2026Christian Llanes, Spencer W. Jensen, Samuel CooganMulti-Agent Control Multi-Robot Coordination
School of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, GA 30332, USA. · Sandia National Laboratories, Albuquerque, NM 87123, USA.
CADENCE: Predicting Realized MAPF Execution Time Beyond Sum of Costs
Jun 3, 2026Abhishek S, Badrikanath Praharaj, Sreeram MVMulti-Robot Systems Multi-Robot Coordination
BuildMachineLabs
Cooperative Circumnavigation for Multiple Unmanned Surface Vehicles Without External Localization
Jun 3, 2026Xueming Liu, Lin Li, Xiang Zhou +2Multi-Robot Formation Control Multi-Robot Coordination
School of Aeronautics and Astronautics, Sun Yat-sen University (Shenzhen Campus), Shenzhen, China
RSC: Decentralized Rigid Formation Flocking for Large-Scale Swarms via Hybrid Predictive Control and Online Reconfiguration
Jun 2, 2026Ganyu Zou, Linhan Wang, Chen Dai +2Robotic Control Multi-Robot Formation Control
Multi-Agent Next-Best-View Optimization for Risk-Averse Planning
Jun 2, 2026Amirhossein Mollaei Khass, Vivek Pandey, Guangyi Liu +3Next-Best-View Planning Multi-Robot Exploration
Department of Mechanical Engineering and Mechanics, Lehigh University · Amazon Robotics
Market-Based Replanning for Safety-Critical UAV Swarms in Search and Rescue Missions
Jun 1, 2026Luiz Giacomossi, Andrea Haglund, Claire Namatovu +6Aerial Robotics Swarm Robotics
Mälardalen University (MDU) Västerås, Sweden
Spatio-Temporal Reconnection for Multi-Robot Networks using Adaptive Prescribed-Time CBFs
Jun 1, 2026Hao Liu, Yupeng Yang, Yanze Zhang +1Multi-Robot Systems Control Barrier Functions
Department of Computer Science, University of Illinois Chicago, Chicago, IL 60607, USA · Department of Computer Science, University of North Carolina at Charlotte, Charlotte, NC 28223, USA
Coordinating Task Switching in a Robotics Multi-Agent System Using Behavior Trees
May 31, 2026Lucas Haug, Anarosa Alves Franco Brandão, Arthur CasalsRobotics Multi-Robot Coordination
∗LTI - Laborat´orio de T´ecnicas Inteligentes, Universidade de S˜ao Paulo, SP
Tether-Aware Dynamic Collision Avoidance for USV-HROV Systems
May 31, 2026Yang Gu, Ziyang Hong, Xuanlin Chen +4Collision Avoidance Multi-Robot Coordination
Generative Multi-Robot Motion Planning via Diffusion Modeling with Multi-Agent Reinforcement Learning Guidance
May 30, 2026Suk Ki Lee, Venkata Sai Deepak Mutta, Hyunwoong KoMulti-Robot Motion Planning Diffusion-Based Planning
School of Manufacturing Systems and Networks, Arizona State University, Mesa, AZ · Michael W. Hall School of Mechanical Engineering, Mississippi State University, Starkville, MS
Can Aerial VLA Models Cooperate? Evaluating Closed-Loop Air-Ground Coordination with CARLA-Air
May 29, 2026Tianle Zeng, Yanci Wen, Xueang Yu +1VLM Evaluation Aerial Robotics
Southern University of Science and Technology · Fudan University
Trajectory Planning for Non-Communicating Mobile Robots using Inverse Optimal Control
May 29, 2026Nina Majer, Yannick Epple, Xin Ye +2Multi-Robot Motion Planning Trajectory Generation
FZI Research Center for Information Technology, Haid-und-Neu-Str.10-14, 76131 Karlsruhe, Germany · Institute of Control Systems, Karlsruhe Institute of Technology, Kaiserstraße 12, 76131 Karlsruhe, Germany
FLIP: Real-Time and Resilient Formation Planning for Large-Scale DIstributed Swarms via Point Cloud Registration
May 28, 2026Yuan Zhou, Guangtong Xu, Zhenyu Hou +2Multi-Robot Formation Control Multi-Robot Motion Planning
Institute of Cyber-Systems and Control, College of Control Science and Engineering, Zhejiang University, Hangzhou 310027, China · Huzhou Institute, Zhejiang University, Huzhou 313000, China
A Progress-Aware Leader-Follower Midair Docking System for Dual-Drone Aerial Manipulation
May 28, 2026Yifan Cai, Jan Ming Kevin Tan, Xiangqi Li +3Aerial Robotics Multi-Robot Coordination
Department of Computer Science, University College London, London, United Kingdom · Department of Artificial Intelligence, University of Malaya, Kuala Lumpur, Malaysia
Decentralized LLM-Driven Coordination of Acoustic Robots for Contactless Object Manipulation
May 28, 2026Yingying Wang, Narsimlu Kemsaram, Sriram SubramanianLarge Language Model-Based Robot Planning Multi-Robot Coordination
Department of Computer Science, University College London, United Kingdom. · Department of Artificial Intelligence, University of Malaya, Kuala Lumpur, Malaysia.
Structured interactions improve distributed coordination beyond model scaling in a real-world multi-robot system
May 28, 2026Junping Wang, Zhizhong Zhang, Yongqiang Tang +5Multi-Robot Systems Multi-Robot Coordination
1*State Key Laboratory of Multimodal Artificial Intelligence Systems, Institute of Automation, Chinese Academy of Sciences, No.95 Zhongguancun East Road, Haidian District, Beijing, 100190, Beijing, China. · School of Artificial Intelligence, University of Chinese Academy of Sciences, No.19(A) Yuquan Road, Shijingshan District, Beijing, 100049, Beijing, China. · 5Liupanshan Laboratory, Ningxia University, No.489, Helanshan West Road, Xixia District, Yingchuan, 750021, Ningxia, China. +2
SCALE-COMM: Shared, Contrastively-Aligned Latent Embeddings for MARL Communication
May 26, 2026Mahmoud Abouelyazid, Eman HammadMulti-Robot Coordination Decentralized MARL
Electrical and Computer Engineering Department Texas A&M University, College Station, TX, USA
Multi-Robot Box Transport over Different Surfaces with Decentralized Role-based Proportional Control
May 26, 2026Aditya Bhatt, Himavarshini Yarragangu, Urvish Shah +2Robotic Control Multi-Robot Motion Planning
Mechanical & Aerospace Eng., University at Buffalo, Buffalo, NY
Collaborative Navigation and Exploration with $β$ -Sparse Gaussian Processes
May 25, 2026Evangelos Psomiadis, Dipankar Maity, Panagiotis TsiotrasMulti-Robot Systems Robot Navigation
D. Guggenheim School of Aerospace Engineering, Georgia Tech, Atlanta, GA, USA · Department of Electrical and Computer Engineering, UNC Charlotte, Charlotte, NC, USA
Micro-Swarm Locomotion Optimization in Dynamic Flow using Multi-Objective Multi-Agent Reinforcement Learning
May 24, 2026Josef Berman, Oren GalMulti-Objective Reinforcement Learning Multi-Agent System Optimization
The Hatter Department of Marine Technologies, Leon H. Charney School of Marine Sciences, University of Haifa, Israel.
Scaling up Energy-Aware Multi-Agent Reinforcement Learning for Mission-Oriented Drone Networks with Individual Reward
May 24, 2026Changling Li, Ying LiReinforcement Learning Credit Assignment in RL
Department of Computer Science, ETH Zurich, 8092, Zurich, Switzerland · Department of Computer Science, Colby College, 04901, Waterville, ME, USA
Scout-Assisted Planning for Heterogeneous Robot Teams under Partially Known Environments
May 21, 2026Hoang-Dung Bui, Abhish Khanal, Raihan Islam Arnob +1Robot Navigation Informative Path Planning
George Mason University
A Visitation Grid for Complete Coverage Foraging in Robot Swarms
May 21, 2026Qi Arturo Gonzalez, Yifeng Gao, Li Zhang +1Multi-Robot Systems Swarm Robotics
Department of Computer Science The University of Texas Rio Grande Valley, Texas, United States
Auction-Consensus Algorithm with Learned Bidding Scheme for Multi-Robot Systems
May 21, 2026Jose Rodriguez, Constantine Tarawneh, Sven Koenig +2Multi-Robot Coordination Multi-Robot Task Allocation
Department of Electrical and Computer Engineering, The University of Texas at Rio Grande Valley (UTRGV), Edinburg, USA · Department of Mechanical Engineering, UTRGV, Edinburg, TX, USA · Department of Computer Science, Donald Bren School of Information and Computer Sciences, University of California, Irvine +1
Higher Order Reasoning for Collaborative Communicationless Mobile Robot Operations
May 21, 2026Jonathan Reasoner, Nicola BezzoBelief-Space Planning Multi-Robot Motion Planning
Department of Electrical and Computer Engineering, University of Virginia, Charlottesville, VA 22904, USA
Learning Altruistic Collaboration in Heterogeneous Multi-Team Systems
May 20, 2026Riwa Karam, Ruoyu Lin, Brooks A. Butler +1Multi-Agent Collaboration Multi-Robot Coordination
Samueli School of Engineering, University of California, Irvine, Irvine, CA, 92697, USA · University of North Carolina at Chapel Hill, Chapel Hill, NC, 27599, USA
Mind the Gaps: Multi-Robot Feedback-Driven Ergodic Coverage in Unknown Environments
May 20, 2026Thales Costa Silva, Nora AyanianTrajectory Optimization Multi-Robot Systems
Department of Computer Science at Brown University, Providence-RI, USA.
Distributed Multi-Coverage for Robot Swarms
May 20, 2026Mariem Guitouni, Aaron T. BeckerAerial Robotics Multi-Robot Systems
University of Houston, Texas, USA, 77204

Jun 5, 2026, cs.ROJ/K move · Enter open · S save

A Multi-Operator Mixed-Reality Interface for Multi-Robot Control and Coordination: Co-Located and Private Workspace Collaboration

Omotoye Shamsudeen Adekoya, Antonio Sgorbissa, Carmine Tommaso Recchiuto

DIBRIS Department, RICE Laboratory, University of Genoa, Italy

Robot Teleoperation Multi-Robot Coordination Human-Robot Collaboration Human-Robot Interaction

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Multi-operator control of robot teams requires not only access to the same mission information, but also mechanisms for maintaining shared awareness and preventing conflicting interventions. Building on our previous HORUS interface (Holistic Operational Reality for Unified Systems) we present a mixed-reality interface that extends single-operator multi-robot supervision to collaborative multi-operator use. The system supports two complementary modes: a co-located shared workspace, in which operators observe and manipulate the same mini-map in the same physical location, and a private-workspace mode, in which operators work on the same mission through independently placed local workspaces. The architecture combines registration-driven scene construction, lightweight shared-session synchronization, and per-robot control leases to support collaborative monitoring, tasking, and teleoperation while preventing conflicting commands. We evaluated the approach in a human-subject study with 36 participants (18 pairs) controlling three Nova Carter mobile robots in two search environments. The performance of the objective task was comparable across the two modes, indicating that both modes supported effective mission execution. However, the co-located shared workspace significantly improved perceived collaboration, shared understanding, and handoff clarity, and was the preferred collaborative mode. These results indicate that physically co-locating the MR workspace improves how operators coordinate even when the underlying robot-control tools remain unchanged.

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Latest papers 202