Differentiable Logic Layer for Rule Guided Trajectory Prediction. - Xiao Li 025; Guy Rosman; Igor Gilitschenski; Jonathan A. DeCastro; Cristian Ioan Vasile; Sertac Karaman; Daniela Rus (CoRL, 2020)

Learning A Risk-Aware Trajectory Planner From Demonstrations Using Logic Monitor. - Xiao Li 025; Jonathan A. DeCastro; Cristian Ioan Vasile; Sertac Karaman; Daniela Rus (CoRL, 2021)

The Logical Options Framework. - Brandon Araki; Xiao Li 025; Kiran Vodrahalli; Jonathan A. DeCastro; Micah J. Fry; Daniela Rus (ICML, 2021)

BarrierNet: A Safety-Guaranteed Layer for Neural Networks. - Wei Xiao 003; Ramin M. Hasani; Xiao Li 025; Daniela Rus (CoRR, 2021)

Vehicle Trajectory Prediction Using Generative Adversarial Network With Temporal Logic Syntax Tree Features. - Xiao Li 025; Guy Rosman; Igor Gilitschenski; Cristian Ioan Vasile; Jonathan A. DeCastro; Sertac Karaman; Daniela Rus (IEEE Robotics Autom. Lett., 2021)

A Deep Concept Graph Network for Interaction-Aware Trajectory Prediction. - Yutong Ban; Xiao Li 025; Guy Rosman; Igor Gilitschenski; Ozanan R. Meireles; Sertac Karaman; Daniela Rus (ICRA, 2022)

Learning Policies by Learning Rules. - Brandon Araki; Jeana Choi; Lillian Chin; Xiao Li 025; Daniela Rus (IEEE Robotics Autom. Lett., 2022)

Learning an Explainable Trajectory Generator Using the Automaton Generative Network (AGN). - Xiao Li 025; Guy Rosman; Igor Gilitschenski; Brandon Araki; Cristian-Ioan Vasile; Sertac Karaman; Daniela Rus (IEEE Robotics Autom. Lett., 2022)

Risk-Aware Neural Navigation From BEV Input for Interactive Driving. - Suzanna Jiwani; Xiao Li 025; Sertac Karaman; Daniela Rus (ICRA, 2023)

Multi-Abstractive Neural Controller: An Efficient Hierarchical Control Architecture for Interactive Driving. - Xiao Li 025; Igor Gilitschenski; Guy Rosman; Sertac Karaman; Daniela Rus (IEEE Robotics Autom. Lett., 2023)

BarrierNet: Differentiable Control Barrier Functions for Learning of Safe Robot Control. - Wei Xiao 003; Tsun-Hsuan Wang; Ramin M. Hasani; Makram Chahine; Alexander Amini; Xiao Li 025; Daniela Rus (IEEE Trans. Robotics, 2023)

FASTNav: Fine-Tuned Adaptive Small-Language- Models Trained for Multi-Point Robot Navigation. - Yuxuan Chen; Yixin Han; Xiao Li 025 (IEEE Robotics Autom. Lett., 2025)