A Computational Focus For Robotics Education. - Zachary Dodds; Kristina Ming; Christopher Eriksen; Shih-Chieh Hsiung; Xin Huang 018; Zakkai Davidson (AAAI Spring Symposia, 2014)

Hybrid Risk-Aware Conditional Planning with Applications in Autonomous Vehicles. - Xin Huang 018; Ashkan Jasour; Matthew Deyo; Andreas G. Hofmann; Brian C. Williams (CDC, 2018)

Online Risk-Bounded Motion Planning for Autonomous Vehicles in Dynamic Environments. - Xin Huang 018; Sungkweon Hong; Andreas G. Hofmann; Brian C. Williams (ICAPS, 2019)

Uncertainty-Aware Driver Trajectory Prediction at Urban Intersections. - Xin Huang 018; Stephen G. McGill; Brian C. Williams; Luke Fletcher; Guy Rosman (ICRA, 2019)

Diversity-Aware Vehicle Motion Prediction via Latent Semantic Sampling. - Xin Huang 018; Stephen G. McGill; Jonathan A. DeCastro; Brian C. Williams; Luke Fletcher; John J. Leonard; Guy Rosman (CoRR, 2019)

Fast Risk Assessment for Autonomous Vehicles Using Learned Models of Agent Futures. - Allen Wang; Xin Huang 018; Ashkan Jasour; Brian Charles Williams (Robotics: Science and Systems, 2020)

DiversityGAN: Diversity-Aware Vehicle Motion Prediction via Latent Semantic Sampling. - Xin Huang 018; Stephen G. McGill; Jonathan A. DeCastro; Luke Fletcher; John J. Leonard; Brian C. Williams; Guy Rosman (IEEE Robotics Autom. Lett., 2020)

An Anytime Algorithm for Chance Constrained Stochastic Shortest Path Problems and Its Application to Aircraft Routing. - Sungkweon Hong; Sang Uk Lee; Xin Huang 018; Majid Khonji; Rashid Alyassi; Brian C. Williams (ICRA, 2021)

Risk Conditioned Neural Motion Planning. - Xin Huang 018; Meng Feng; Ashkan Jasour; Guy Rosman; Brian C. Williams (IROS, 2021)

Contingency-Aware Intersection System for Autonomous and Human-Driven Vehicles with Bounded Risk. - Rashid Alyassi; Majid Khonji; Xin Huang 018; Sungkweon Hong; Jorge Dias 001 (SSRR, 2021)

TIP: Task-Informed Motion Prediction for Intelligent Systems. - Xin Huang 018; Guy Rosman; Ashkan Jasour; Stephen G. McGill; John J. Leonard; Brian C. Williams (CoRR, 2021)

CARPAL: Confidence-Aware Intent Recognition for Parallel Autonomy. - Xin Huang 018; Stephen G. McGill; Jonathan A. DeCastro; Luke Fletcher; John J. Leonard; Brian C. Williams; Guy Rosman (IEEE Robotics Autom. Lett., 2021)

M2I: From Factored Marginal Trajectory Prediction to Interactive Prediction. - Qiao Sun; Xin Huang 018; Junru Gu; Brian C. Williams; Hang Zhao (CVPR, 2022)

HYPER: Learned Hybrid Trajectory Prediction via Factored Inference and Adaptive Sampling. - Xin Huang 018; Guy Rosman; Igor Gilitschenski; Ashkan Jasour; Stephen G. McGill; John J. Leonard; Brian C. Williams (ICRA, 2022)

Trajectory Prediction with Linguistic Representations. - Yen-Ling Kuo; Xin Huang 018; Andrei Barbu; Stephen G. McGill; Boris Katz; John J. Leonard; Guy Rosman (ICRA, 2022)

TIP: Task-Informed Motion Prediction for Intelligent Vehicles. - Xin Huang 018; Guy Rosman; Ashkan Jasour; Stephen G. McGill; John J. Leonard; Brian C. Williams (IROS, 2022)

InterSim: Interactive Traffic Simulation via Explicit Relation Modeling. - Qiao Sun; Xin Huang 018; Brian C. Williams; Hang Zhao (IROS, 2022)

Fast nonlinear risk assessment for autonomous vehicles using learned conditional probabilistic models of agent futures. - Ashkan Jasour; Xin Huang 018; Allen Wang; Brian C. Williams (Auton. Robots, 2022)

Multi-Agent Chance-Constrained Stochastic Shortest Path with Application to Risk-Aware Intelligent Intersection. - Majid Khonji; Rashid Alyassi; Wolfgang Merkt; Areg Karapetyan; Xin Huang 018; Sungkweon Hong; Jorge Dias 001; Brian C. Williams (CoRR, 2022)

P4P: Conflict-Aware Motion Prediction for Planning in Autonomous Driving. - Qiao Sun; Xin Huang 018; Brian C. Williams; Hang Zhao (IROS, 2023)

GAME-UP: Game-Aware Mode Enumeration and Understanding for Trajectory Prediction. - Justin Lidard; Oswin So; Yanxia Zhang; Jonathan A. DeCastro; Xiongyi Cui; Xin Huang 018; Yen-Ling Kuo; John J. Leonard; Avinash Balachandran; Naomi Ehrich Leonard; Guy Rosman (CoRR, 2023)