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X. Sun, Y. Wu, S. Bhattacharya, and V. Kumar, “Multi-Agent Exploration of an Unknown Sparse Landmark Complex via Deep Reinforcement Learning,” 2023 IEEE International Conference on Robotics and Automation (ICRA), submitted for review. PDF, Video
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X. Sun, M. Zhou, Z. Zhuang, S. Yang, J. Betz, and R. Mangharam, “A Benchmark Comparison of Imitation Learning-based Control Policies for Autonomous Racing,” 2022 IEEE International Conference on Intelligent Robots and Systems (IROS) Workshop on Miniature Robot Platforms for Full Scale Autonomous Vehicle Research. PDF, Slides, Video
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Z. Qiao, X. Sun, H. Loeb, and R. Mangharam, “Drive Right: Shaping Public’s Trust, Understanding, and Preference Towards Autonomous Vehicles Using a Virtual Reality Driving Simulator,” Applied Ergonomics, submitted for review. PDF
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Z. Qiao, X. Sun, H. Loeb, and R. Mangharam, “Drive Right: A Simulator Approach for Safe Autonomous Vehicle Demonstration and Education”, 2022 IEEE International Conference on Robotics and Automation (ICRA) Workshop on Human-in-the-loop Paradigm for Assistive Robotics. PDF, Video
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L. Lan, S. Cheng, X. Sun, W. Li, C. Yang, and F. Wang, “A Fast Singular Boundary Method for the Acoustic Design Sensitivity Analysis of Arbitrary Two-and Three-Dimensional Structures,” Mathematics. PDF
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T. Lv, Z. Pan, W. Wei, G. Yang, J. Song, X. Wang, L. Sun, Q. Li, and X. Sun, “Iterative Deep Neural Networks Based on Proximal Gradient Descent for Image Restoration,” PLOS ONE. PDF