Shih-Yun Lo

According to our database, Shih-Yun Lo authored at least 9 papers between 2018 and 2021.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2021

Communication Strategy for Efficient Guidance Providing : Domain-structure Awareness, Performance Trade-offs, and Value of Future Observations.

Shih-Yun Lo, Andrea Lockerd Thomaz

Proceedings of the IEEE International Conference on Robotics and Automation, 2021

Robust Planning with Emergent Human-like Behavior for Agents Traveling in Groups.

Shih-Yun Lo, Elaine Schaertl Short, Andrea Lockerd Thomaz

Proceedings of the IEEE International Conference on Robotics and Automation, 2021

Towards Safe Motion Planning in Human Workspaces: A Robust Multi-agent Approach.

Shih-Yun Lo, Benito Fernandez, Peter Stone, Andrea Lockerd Thomaz

Proceedings of the IEEE International Conference on Robotics and Automation, 2021

2020

The PETLON Algorithm to Plan Efficiently for Task-Level-Optimal Navigation.

Shih-Yun Lo, Shiqi Zhang, Peter Stone

J. Artif. Intell. Res., 2020

Planning with Partner Uncertainty Modeling for Efficient Information Revealing in Teamwork.

Shih-Yun Lo, Elaine Schaertl Short, Andrea Lockerd Thomaz

Proceedings of the HRI '20: ACM/IEEE International Conference on Human-Robot Interaction, 2020

Robust Following with Hidden Information in Travel Partners.

Shih-Yun Lo, Elaine Schaertl Short, Andrea Lockerd Thomaz

Proceedings of the 19th International Conference on Autonomous Agents and Multiagent Systems, 2020

2019

Perception of Pedestrian Avoidance Strategies of a Self-Balancing Mobile Robot.

Shih-Yun Lo, Katsu Yamane, Ken-ichiro Sugiyama

Proceedings of the 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2019

Robust Motion Planning and Safety Benchmarking in Human Workspaces.

Shih-Yun Lo, Shani Alkoby, Peter Stone

Proceedings of the Workshop on Artificial Intelligence Safety 2019 co-located with the Thirty-Third AAAI Conference on Artificial Intelligence 2019 (AAAI-19), 2019

2018

PETLON: Planning Efficiently for Task-Level-Optimal Navigation.

Shih-Yun Lo, Shiqi Zhang, Peter Stone

Proceedings of the 17th International Conference on Autonomous Agents and MultiAgent Systems, 2018