July 10, 2023 at RSS'23 in Daegu, Republic of Korea!


Multi-robot autonomous navigation is challenging in unstructured environments due to multiple reasons - agents may be non-cooperative, the environment may consist of unpredictable humans, environments may be constrained or consist of unknown objects or terrains. Research is spread across various domains such as perception, prediction, modeling, simulation, and planning in order to make multi-robot planning in such environments safer, efficient, and socially-compliant in the presence of humans. One of the main goals of this workshop is to bring together research communities working at the intersection of multi-agent systems, social robot navigation, and human behavior modeling. Through invited talks, panel discussions, and paper presentations, attendees will become familiar with the latest research and network for new collaborations. Our objective for this workshop is to amplify the impact of multi-robot navigation research in both academia and industry. The organizers and speakers are from top academic institutes and industry organizations and have a lot of real world experience as well as a strong publishing record in dealing with these aspects. Finally, we are proud to support great diversity in our team including age, gender, ethnicity, and location.

Invited Speakers

Mac Schwager Dorsa Sadigh Javier Alonso-Mora Amanda Prorok
Stanford University Stanford University TU Delft Cambridge University
Xuesu Xiao Chris Amato Anca Dragan Matthew Gombolay
George Mason University Northeastern University UC Berkeley Georgia Tech

Call for Papers

We invite participants to submit either short (4+n) or long papers (8+n). We encourage the submission of early ideas, late-breaking results, position papers, or open research questions that are likely to generate interesting discussions. Work published elsewhere is allowed. Accepted papers will be presented in a poster session and selected papers as spotlight talks. All submitted contributions will go through a single blind review process.

Topics include, and are not limited to:

The specific goals of the workshop will be to discuss ideas around following topics:

  • Perception in unstructured environments
  • Mapping and localization
  • Recognizing novel objects
  • Multi-agent trajectory forecasting
  • Multi-agent behavior prediction
  • Human behavior modeling
  • Modeling human factors and interactions
  • Coordination and competition among multiple autonomous agents
  • Ad-hoc teamwork
  • Non-Cooperative navigation
  • Learning for multi-agent navigation
  • Theory for multi-agent systems
  • Autonomous racing
  • Game-theoretic planning
  • Multi-agent decision making
  • Reinforcement learning in autonomous driving
  • ADAS and autonomous driving
  • Off-road navigation


Submit here: CMT.

Important Dates

  • Submission deadline: June 01, 2023 (AoE)
  • Notification of acceptance: June 14, 2023 (AoE)
  • Camera Ready Submission: Jun 21, 2023 (AoE)
  • Workshop date: July 10, 2023


Time Event Talk Title
9:00 - 9:15 Introductory Remarks  
9:15 - 9:50 Chris Amato Reinforcement Learning for Multi-Robot Coordination (and Navigation)
9:50 - 10:25 Xuesu Xiao Learning Navigation in Challenging Environments
10:25 - 11:00 Break  
11:00 - 11:35 Matthew Gombolay Assume a Spherical Human…Bovine Joke Appropriation from Physics for Guidance in HRI
11:35 - 12:10 Negar Mehr Game-Theoretic Decision Making and Planning for Multi-Agent Interactions
12:10 - 13:40 Lunch Poster Session for spotlight talks
13:40 - 14:25 Spotlight Talks  
14:25 - 15:00 Mac Schwager Game Theoretic Planning: Simultaneous Prediction and Planning for Coordinated Multi-Agent Navigation
15:00 - 15:35 Dorsa Sadigh Cooperative AI in the Era of Large Models
15:35 - 16:10 Javier Alonso-Mora Motion planning among decision-making agents: modeling uncertainty and multi-agent interaction
16:10 - 16:45 Amanda Prorok How Robots Learn to Communicate to Cooperate
16:45 - 17:00 Concluding Remarks  

Accepted Spotlight Papers

Effective Tracking of Unknown Clustered Targets Using A Distributed Team of Mobile Robots
Jun Chen (King Abdullah University of Science and Technology), Philip Dames (Temple University, USA), Shinkyu Park (King Abdullah University of Science and Technology)

Graph Attention Multi-Agent Fleet Autonomy for Advanced Air Mobility
Malintha Fernando (Indiana University), Martin Swany (Indiana University), Ransalu Senanayake (Stanford University), Heeyoul Choi (Indiana University)

MIDGARD: A Simulation Platform for Autonomous Ground Robot Navigation in Unstructured Environments
Giuseppe Vecchio (University of Catania), Simone Palazzo (University of Catania), Dario Calogero Guastella (Università degli Studi di Catania), Ignacio Carlucho (University of Edinburgh), Stefano Albrecht (University of Edinburgh), Giovanni Muscato (University of Catania), Concetto Spampinato (University of Catania)

ST-CBS: Space-Time Conflict Based Search in Continuous Space for Multi-Agent Path Finding
Changjoo Nam (Sogang University), Joonyeol Sim (Sogang University)

iPLAN: Intent-Aware Planning in Heterogeneous Traffic via Distributed Multi-Agent Reinforcement Learning
Xiyang Wu (University of Maryland, College Park), Rohan Chandra (University of Texas at Austin), Tianrui Guan (University of Maryland, College Park), Amrit Singh Bedi (University of Maryland, College Park), Dinesh Manocha (University of Maryland, College Park)


Rohan Chandra Negar Mehr Joydeep Biswas Peter Stone
UT Austin UIUC UT Austin UT Austin