Schedule

Introduction:   09.00

Prof. Amanda Prorok 

Talk 1:   09.10 - 09.50

Prof. Chris Amato  

Scalable Reinforcement Learning for Multi-Robot Coordination

Talk 2:   09.50 - 10.30

Prof. Marc Toussaint

What are models of cooperative manipulation planning?

Coffee break:   10.30 - 11.00

Spotlight Talks:   11.00 - 11.45

Poster Session: 11.45 - 12.30

1. Heterogenous Multi-Robot Reinforcement Learning

Matteo Bettini, Ajay Shankar, and Amanda Prorok

2. CLAS: Coordinating Multi-Robot Manipulation with Central Latent Action Spaces

Elie Aljalbout, Maximilian Karl, and Patrick van der Smagt

3. On the Stability of Gated Graph Neural Networks

Antonio Marino, Claudio Pacchierotti, and Paolo Robuffo Giordano

4. Program Embeddings for Rapid Mechanism Evaluation

Sai Kiran Narayanaswami, David Fridovich-Keil, Swarat Chaudhuri, and Peter Stone

5. SCRIMP: Scalable Communication for Reinforcement- and Imitation-Learning-Based Multi-Agent Pathfinding

Yutong Wang, Bairan Xiang, Shinan Huang, and Guillaume Sartoretti

6. CTRMs: Learning to Construct Cooperative Timed Roadmaps for Multi-agent Path Planning in Continuous Spaces

Keisuke Okumura, Ryo Yonetani, Mai Nishimura, and Asako Kanezaki

7. Flying Adversarial Patches: Manipulating the Behavior of Deep Learning-based Autonomous Multirotors

Pia Hanfeld, Marina M.-C. Höhne, Michael Bussmann, and Wolfgang Honig

8. Value Factorization for Asynchronous Multi-Agent Reinforcement Learning

Enrico Marchesini, Yuchen Xiao and Christopher Amato

9. A Hierarchical Approach to Population Training for Human-AI Collaboration

Yi Loo, Chen Gong, and Malika Meghjani

10. PRIMER: Perception-Aware Robust Imitation Learning-based Multiagent Trajectory Planner

Kota Kondo, Claudius T. Tewari, Andrea Tagliabue, Jesus Tordesillas, Parker C. Lusk, Jonathan P. How

11. Learning Behaviour Trees from Video Demonstrations of Swarm Behaviour

Khulud Alharthi, Zahraa S Abdallah, and Sabine Hauert

12.  Comparative Exploration of Three Approaches to Learning Heterogeneous Robot Swarm Operations over Abstracted Complex Adversarial Environments

Prajit KrisshnaKumar, Steve Paul, Amir Behjat, Hemanth Manjunatha, Nathan Maurer, Ehsan Esfahani, and Souma Chowdhury

13. Towards Zero-Shot Multi-Team Racing: Competitive Driving via Learning in Simulation *WINNER BEST PAPER AWARD*

Peter Werner*, Tim Seyde*, Paul Drews, Thomas Balch, Wilko Schwarting, Igor Gilitschenski, Guy Rosman, Sertac Karaman, and Daniela Rus

14. CLIPSwarm: Converting text into formations of robots

Pablo Pueyo, Eduardo Montijano, Ana C. Murillo, and Mac Schwager

15. Leveraging Human Feedback to Evolve and Discover Novel Emergent Behaviors in Robot Swarms

Connor Mattson and Daniel S. Brown

Lunch: 12.30 - 13.30

Talk 3:   13.30 - 14.10

Prof. Michael Everett

Toward Certifying Multi-Robot Learning-Enabled Systems

Talk 4:   14.10 - 14.50

Prof. Angela Schoellig

Talk 5:   14.50 - 15.30

Prof. Soon-Jo Chung

Safe and Stable Learning for Swarm Robotics

Coffee break: 15.30 - 16.00

Round -Table:   16.00 - 16.45

Awards and Closing:   16.45 - 17.00