![]() |
Humans |
![]() |
Interactions |
![]() |
Societal Implications |
Interaction-Aware Planning and Control
As robots enter our lives, many important questions about the interaction between humans and robots arise. We are particularly interested in how robots can influence the behaviors of humans. For that, we model the interaction as a multi-agent game which can be cooperative (tasks that involve human-robot collaboration) or competitive (e.g. traffic). We investigate the policies and implications of these games to analyze the efficiency and the safety of human-robot interactions.
Interaction-Aware Control
Active Information Gathering over Humans' Internal State
Multi-agent Interactions
- Dorsa Sadigh, S. Shankar Sastry, Sanjit A. Seshia, Anca D. Dragan. Planning for Autonomous Cars that Leverage Effects on Human Actions. Proceedings of Robotics: Science and Systems (RSS), June 2016. [PDF]
- Dorsa Sadigh, Nick Landolfi, S. Shankar Sastry, Sanjit A. Seshia, Anca D. Dragan. Planning for Cars that Coordinate with People: Leveraging Effects on Human Actions for Planning and Active Information Gathering over Human Internal State. Autonomous Robots (AURO), October 2018. [PDF]
- Dorsa Sadigh, S. Shankar Sastry, Sanjit A. Seshia, Anca Dragan. Information Gathering Actions over Human Internal State. Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), October 2016. [PDF]
- Jiaming Song, Hongyu Ren, Dorsa Sadigh, Stefano Ermon. Multi-Agent Generative Adversarial Imitation Learning. Conference on Neural Information Processing Systems (NeurIPS), December 2018. [PDF]
- Minae Kwon*, Mengxi Li*, Alexandre Bucquet, Dorsa Sadigh. Influencing Leading and Following in Human-Robot Teams. Proceedings of Robotics: Science and Systems (RSS), June 2019. [PDF]