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I am Letian Wang, a visiting student researcher at the MSC Lab at the University of California, Berkeley, supervised by Prof. Masayoshi Tomizuka. I finished my bachelor's degree and am in a master's program at Beihang University, Beijing, China.
My research interest includes machine learning, optimization, control theory approaches and their applications to motion planning, behavior prediction, and decision making for autonomous vehicles and robotics.
I was also a research assistant at the Robotics Institute of Hong Kong University from August 2018 to October 2018. Under the supervision of Prof. Zexiang Li, I worked on strategies and algorithms of motion planning and trajectory tracking for Tailsitter VTOL UAV.
Home
Thank you for your visit.
I am Letian Wang, a visiting student researcher at the MSC Lab at the University of California, Berkeley, supervised by Prof. Masayoshi Tomizuka. I finished my bachelor's degree and am in a master's program at Beihang University, Beijing, China.
My research interest includes machine learning, optimization, control theory approaches and their applications to motion planning, behavior prediction, and decision making for autonomous vehicles and robotics.
I was also a research assistant at the Robotics Institute of Hong Kong University from August 2018 to October 2018. Under the supervision of Prof. Zexiang Li, I worked on strategies and algorithms of motion planning and trajectory tracking for Tailsitter VTOL UAV.
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Thank you for your visit.
I am Letian Wang, currently a Ph.D. student at the University of Toronto, where I am so fortunate to be supervised by the brilliant Prof. Steven Waslander (Nicest Steven Ever!) in the TRAIL Lab. I'm affiliated with Vector Institute. Previously, I was also fortunate to do research with/at:
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Prof. Changliu Liu, Robotics Institute at the Carnegie Mellon University (2020-2022)
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Prof. Masayoshi Tomizuka, MSC Lab at the University of California at Berkeley (2019-2020)
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Prof. Fu Zhang, Robotics Institute at the Hong Kong University of Science and Technology (2018)
I obtained my bachelor's degree and master's degree with highest honor in 2018 and 2021 respectively, both at Beihang University (Beijing University of Aeronautics and Astronautics), China, supervised by Prof. Qingyun Wang.
My research interest lies in robotics, autonomous driving, and machine learning. Specifically, my interest is triggered by a range of human-robot interaction (HRI) applications, e.g., transferable and adaptable behavior generation, socially-compatible human-like behaviors in decision making, robust and fast learning from human demonstrations or historic information with uncertainty, and safe control/RL in multi-agent scenario with guarantees.
To address challenges in HRI, a highly interdisciplinary area, I leverage techniques from multiple areas, including (inverse, hierarchical)reinforcement learning, probabilistic robotics, graph neural network, control theory, convex optimization, cognitive science, etc.
I have many robotics experiences, won the Best Paper Award Honorable Mention at RA-L, Winner of the CARLA autonomous driving challenge, first prize in the National Challenge Cup 2017 (全国挑战杯一等奖, the highest technology competition for university students in China), and was fortunate to co-found a start-up in industrial UAVs.
News
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02/2024 LMDrive and SmarRefine get accepted to CVPR.
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12/2023 Check our LMDrive, the first work bringing LLM into closed-loop end-to-end autonomous driving.
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10/2023 I start my internship in NVIDIA Research Autonomous Vehicle Research Group
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09/2023 Invited by zdjszx.com to give a public course on Intelligent/Generalizable Decision Making in Dense Environment.
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06/2023 Invited to give a talk about Human-Centric Driving Behavior Generation on IV workshop.
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04/2023 Our ASAP-RL on efficient reinforcement learning for autonomous driving is accepted by RSS
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02/2023 Our ReasonNet on end-to-end driving with temporal and global reasoning is accepted by CVPR.
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12/2022 Our ReasonNet stands out as the Winner of CARLA Autonomous Driving Challenge.
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11/2022 Our long paper on Social Interactions for Autonomous Driving is accepted by Foundations and Trends in Robotics.
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10/2022. Our 1st International Workshop on Socially Interactive Autonomous Mobility (SIAM) will be hosted at IV’23.
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09/2022: One work regarding safe end-to-end autonomous driving via sensor fusion transformer is accepted by Conference on Robot Learning!
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08/2022: Our long paper "Social Interaction for Autonomous Driving: A Review and Perspective" is finally online!
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08/2022: Serving as a member of the Program Committee for the NeuriPS 2022 Machine Learning for Autonomous Driving Workshop!
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07/2022: One work (Interfuser) is ranked first place in the CARLA autonomous driving leaderboard!
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06/2022: One paper regarding object navigation via GNN is accepted by the CVPR Embodied AI workshop!
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06/2022: One paper regarding efficient game-theoretic planning with searching heuristic is accepted at RA-L!
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05/2022: One paper received the Best Paper Award- Honorable Mention of RA-L 2021!
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12/2021: I'm giving a spotlight talk on NeuriPS 2021 Machine Learning for Autonomous Driving Workshop!
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12/2021: One paper on the online adaptation of neural network models is accepted at AAAI SSL Workshop 2022!
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10/2021: One paper on the transferable and adaptable driving prediction is accepted at NeuriPS ML4AD workshop 2021! (Spotlight)
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01/2021: One paper regarding the social behavior of autonomous driving is accepted at RA-L and ICRA 2021!
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11/2020: I was invited to give a talk at "Human behavior prediction via Inverse Reinforcement Learning" at 2020 INFORMS Annual Meeting!
Safety-Enhanced Autonomous Driving Using Interpretable Sensor Fusion Transformer (First-place solution on Carla autonomous driving leaderboard)
