IROS 2021 MAIR2 Workshop on



Multi-Agent Interaction and Relational Reasoning


October 1, 2021 | Prague, Czech Republic (Virtual)

Welcome to IROS MAIR2 Workshop

Modeling relations and interactions between agents (e.g., robots, humans, entities, objects, and particles) is widely studied and plays an important role in various tasks, necessitating larger-scale communication and collaboration between researchers in different robotic or relevant fields. Our goal is to enable interdisciplinary discussion about multi-agent relational reasoning knowledge from different research areas such as multi-agent reinforcement learning, cooperative and competitive multi-agent systems, intuitive physics, dynamics modeling, object detection and tracking, scene understanding, human-robot interaction. The goal of this workshop is to provide an opportunity to discuss how the concepts and techniques in different fields related to multi-agent interaction modeling could help and advance each other.

Topics Covered

  • Multi-agent reinforcement learning for multi-robot planning, control, manipulation

  • Causal discovery and modeling in multi-agent systems

  • Cooperative and competitive multi-agent systems

  • Interaction modeling in perception, e.g., object detection, multi-object tracking

  • Relational reasoning in scene understanding, e.g., scene graph, object segmentation

  • Relational reasoning in intuitive physics for particles and objects

  • Multi-robot systems and swarm systems

  • Human-robot / human-object / robot-robot interaction and collaboration

  • Evaluation and metrics of interaction modeling

  • Spatio-temporal relational reasoning in multi-agent systems

  • Visual transformers and their applications to relational reasoning

  • Relational representation learning using graph neural networks and its applications

  • Transfer learning and domain adaptation in relational modeling

  • Explainability and interpretability in relational reasoning and interaction modeling

  • Relational reasoning and interaction modeling in trajectory forecasting and behavior modeling of traffic participants (pedestrians and vehicles), sports players, etc.

Invited Speakers

Associate Professor, Stanford

Director of AV Research, NVIDIA

Professor

Technical University of Munich

Assistant Professor

UC Berkeley

Assistant Professor

Stanford University

Principal Research Staff

MIT-IBM Watson AI Lab

Professor, University of Oxford

Head of Research, Waymo UK

Postdoctoral Researcher

Facebook AI Research (FAIR)

Professor

University of Western Australia

Assistant Professor

Tsinghua University