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2020 – today
- 2024
[j1]Yuwei Wu
, Xiatao Sun, Igor Spasojevic, Vijay Kumar:
Deep Learning for Optimization of Trajectories for Quadrotors. IEEE Robotics Autom. Lett. 9(3): 2479-2486 (2024)- [i7]Mingyan Zhou, Biao Wang, Xiatao Sun:
Developing Trajectory Planning with Behavioral Cloning and Proximal Policy Optimization for Path-Tracking and Static Obstacle Nudging. CoRR abs/2409.05289 (2024) - [i6]Xiatao Sun, Francis Fan, Yinxing Chen, Daniel Rakita:
A Comparative Study on State-Action Spaces for Learning Viewpoint Selection and Manipulation with Diffusion Policy. CoRR abs/2409.14615 (2024) - 2023
- [c2]Zhijie Qiao, Xiatao Sun, Helen Loeb, Rahul Mangharam:
Drive Right: Shaping Public's Trust, Understanding, and Preference Towards Autonomous Vehicles Using a Virtual Reality Driving Simulator. IV 2023: 1-8 - [c1]Xiatao Sun, Mingyan Zhou, Zhijun Zhuang, Shuo Yang, Johannes Betz, Rahul Mangharam:
A Benchmark Comparison of Imitation Learning-based Control Policies for Autonomous Racing. IV 2023: 1-5 - [i5]Xiatao Sun, Shuo Yang, Rahul Mangharam:
MEGA-DAgger: Imitation Learning with Multiple Imperfect Experts. CoRR abs/2303.00638 (2023) - [i4]Yuwei Wu, Xiatao Sun, Igor Spasojevic, Vijay Kumar:
Learning Optimal Trajectories for Quadrotors. CoRR abs/2309.15191 (2023) - 2022
- [i3]Zhijie Qiao, Xiatao Sun, Helen Loeb, Rahul Mangharam:
Drive Right: Shaping Public's Trust, Understanding, and Preference Towards Autonomous Vehicles Using a Virtual Reality Driving Simulator. CoRR abs/2208.02939 (2022) - [i2]Xiatao Sun, Yuwei Wu, Subhrajit Bhattacharya, Vijay Kumar:
Multi-Agent Exploration of an Unknown Sparse Landmark Complex via Deep Reinforcement Learning. CoRR abs/2209.11794 (2022) - [i1]Xiatao Sun, Mingyan Zhou, Zhijun Zhuang, Shuo Yang, Johannes Betz, Rahul Mangharam:
A Benchmark Comparison of Imitation Learning-based Control Policies for Autonomous Racing. CoRR abs/2209.15073 (2022)
Coauthor Index
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