Multi-Agent Exploration of an Unknown Sparse Landmark Complex via Deep Reinforcement Learning. - Xiatao Sun; Yuwei Wu 005; Subhrajit Bhattacharya; Vijay Kumar 001 (CoRR, 2022)

Drive Right: Shaping Public's Trust, Understanding, and Preference Towards Autonomous Vehicles Using a Virtual Reality Driving Simulator. - Zhijie Qiao; Xiatao Sun; Helen Loeb; Rahul Mangharam (IV, 2023)

A Benchmark Comparison of Imitation Learning-based Control Policies for Autonomous Racing. - Xiatao Sun; Mingyan Zhou; Zhijun Zhuang; Shuo Yang 007; Johannes Betz; Rahul Mangharam (IV, 2023)

MEGA-DAgger: Imitation Learning with Multiple Imperfect Experts. - Xiatao Sun; Shuo Yang 007; Rahul Mangharam (CoRR, 2023)

Learning Optimal Trajectories for Quadrotors. - Yuwei Wu 005; Xiatao Sun; Igor Spasojevic; Vijay Kumar 001 (CoRR, 2023)

Developing Trajectory Planning with Behavioral Cloning and Proximal Policy Optimization for Path-Tracking and Static Obstacle Nudging. - Mingyan Zhou; Biao Wang; Xiatao Sun (CoRR, 2024)

A Comparative Study on State-Action Spaces for Learning Viewpoint Selection and Manipulation with Diffusion Policy. - Xiatao Sun; Francis Fan; Yinxing Chen; Daniel Rakita (CoRR, 2024)

Deep Learning for Optimization of Trajectories for Quadrotors. - Yuwei Wu 005; Xiatao Sun; Igor Spasojevic; Vijay Kumar 001 (IEEE Robotics Autom. Lett., 2024)

Dynamic Rank Adjustment in Diffusion Policies for Efficient and Flexible Training. - Xiatao Sun; Shuo Yang; Yinxing Chen; Francis Fan; Yiyan Liang; Daniel Rakita (CoRR, 2025)

PRISM-DP: Spatial Pose-based Observations for Diffusion-Policies via Segmentation, Mesh Generation, and Pose Tracking. - Xiatao Sun; Yinxing Chen; Daniel Rakita (CoRR, 2025)

Hybrid Diffusion Policies with Projective Geometric Algebra for Efficient Robot Manipulation Learning. - Xiatao Sun; Yuxuan Wang; Shuo Yang; Yinxing Chen; Daniel Rakita (CoRR, 2025)