Bayesian Inference of Temporal Task Specifications from Demonstrations. - Ankit Shah 003; Pritish Kamath; Julie A. Shah; Shen Li 003 (NeurIPS, 2018)

Semi-Supervised Learning of Decision-Making Models for Human-Robot Collaboration. - Vaibhav V. Unhelkar; Shen Li 003; Julie A. Shah (CoRL, 2019)

Fast Online Segmentation of Activities from Partial Trajectories. - Tariq Iqbal; Shen Li 003; Christopher K. Fourie; Bradley Hayes; Julie A. Shah (ICRA, 2019)

Safe and Efficient High Dimensional Motion Planning in Space-Time with Time Parameterized Prediction. - Shen Li 003; Julie A. Shah (ICRA, 2019)

Decision-Making for Bidirectional Communication in Sequential Human-Robot Collaborative Tasks. - Vaibhav V. Unhelkar; Shen Li 003; Julie A. Shah (HRI, 2020)

Planning With Uncertain Specifications (PUnS). - Ankit Shah 003; Shen Li 003; Julie Shah (IEEE Robotics Autom. Lett., 2020)

Reactive Task and Motion Planning under Temporal Logic Specifications. - Shen Li 003; Daehyung Park; Yoonchang Sung; Julie A. Shah; Nicholas Roy (ICRA, 2021)

Provably Safe and Efficient Motion Planning with Uncertain Human Dynamics. - Shen Li 003; Nadia Figueroa; Ankit J. Shah; Julie A. Shah (Robotics: Science and Systems, 2021)

Temporal Logic Imitation: Learning Plan-Satisficing Motion Policies from Demonstrations. - Yanwei Wang; Nadia Figueroa; Shen Li 003; Ankit Shah 003; Julie Shah (CoRL, 2022)

Set-Based State Estimation With Probabilistic Consistency Guarantee Under Epistemic Uncertainty. - Shen Li 003; Theodoros Stouraitis; Michael Gienger; Sethu Vijayakumar; Julie A. Shah (IEEE Robotics Autom. Lett., 2022)

Supervised Bayesian specification inference from demonstrations. - Ankit Shah 003; Pritish Kamath; Shen Li 003; Patrick L. Craven; Kevin J. Landers; Kevin Oden; Julie Shah (Int. J. Robotics Res., 2023)

Enhancing Preference-based Linear Bandits via Human Response Time. - Shen Li 003; Yuyang Zhang; Zhaolin Ren; Claire Liang; Na Li 002; Julie A. Shah (NeurIPS, 2024)