Yifei Simon Shao

According to our database, Yifei Simon Shao authored at least 9 papers between 2021 and 2025.

Collaborative distances:

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

2025

Symskill: Symbol and Skill Co-Invention for Data-Efficient and Real-Time Long-Horizon Manipulation.

Yifei Simon Shao, Yuchen Zheng, Sunan Sun, Pratik Chaudhari, Vijay Kumar, Nadia Figueroa

CoRR, October, 2025

Collision Detection for Low-Cost Robot Manipulators Using Probabilistic Residual Torque Modeling.

Yifei Simon Shao, Baljeet Singh, Nicholas Morozovsky, Pengkang Yu

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2025

2024

REFINE: Reachability-Based Trajectory Design Using Robust Feedback Linearization and Zonotopes.

Jinsun Liu, Yifei Simon Shao, Lucas Lymburner, Hansen Qin, Vishrut Kaushik, Lena Trang, Ruiyang Wang, Vladimir Ivanovic, H. Eric Tseng, Ram Vasudevan

IEEE Trans. Robotics, 2024

Don't Yell at Your Robot: Physical Correction as the Collaborative Interface for Language Model Powered Robots.

Chuye Zhang, Yifei Simon Shao, Harshil Parekh, Junyao Shi, Pratik Chaudhari, Vijay Kumar, Nadia Figueroa

CoRR, 2024

Constraint-Aware Intent Estimation for Dynamic Human-Robot Object Co-Manipulation.

Yifei Simon Shao, Tianyu Li, Shafagh Keyvanian, Pratik Chaudhari, Vijay Kumar, Nadia Figueroa

Proceedings of the Robotics: Science and Systems XX, 2024

Design and Evaluation of Motion Planners for Quadrotors in Environments with Varying Complexities.

Yifei Simon Shao, Yuwei Wu, Laura Jarin-Lipschitz, Pratik Chaudhari, Vijay Kumar

Proceedings of the IEEE International Conference on Robotics and Automation, 2024

Active Perception using Neural Radiance Fields.

Siming He, Christopher D. Hsu, Dexter Ong, Yifei Simon Shao, Pratik Chaudhari

Proceedings of the American Control Conference, 2024

2023

Design and Evaluation of Motion Planners for Quadrotors.

Yifei Simon Shao, Yuwei Wu, Laura Jarin-Lipschitz, Pratik Chaudhari, Vijay Kumar

CoRR, 2023

2021

Reachability-Based Trajectory Safeguard (RTS): A Safe and Fast Reinforcement Learning Safety Layer for Continuous Control.

Yifei Simon Shao, Chen Chao, Shreyas Kousik, Ram Vasudevan

IEEE Robotics Autom. Lett., 2021