I am a Ph.D. student in Trustworthy Autonomous Cyber Physical Systems (ACPS) Lab at University of Liverpool with Prof. Xiaowei Huang and Dr. Xingyu Zhao. Prior to my Ph.D. program, I was working on vehicle trainsmission control supervised by Prof. Xiangyang Xu and Assoc. Prof. Peng Dong at Beihang University.
My research interests include Safe Reinforcement Learning, LLM-based Autonomous Driving, and Sequential Decision Making. I am eagerly in deploying Robust and Generalised algorithms to real robotics systems, like autonomous vehicles. The reference literature can be found in my Research Bibliography.
Contact:
Email: sihao.wu[at]liverpool.ac.uk
Office: Digital Innovation Facility, G018, Liverpool, UK
Profiles:
Github, GoogleScholar, Linkedin
Publications
Conferences
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Design and Simulation of an Autonomous Racecar: Perception, SLAM, Planning and Control
Sihao Wu,
Zhengwei Yang,
Xiaopo Xie,
Yilong Wang,
Xinliang Wang,
Qi Wang,
Bofan Wu,
Hongjun Zhang,
Hanning Zhang,
Haochun Ma,
Xuanliang Zhang,
Haiying Lin
IEEE International Conference on Autonomous Systems (ICAS), 2021
The hardware and software concept of the 2020-rebuilt AERO Driverless Racing Team.
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Journals
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Coordinated clutch slip control for the engine start of vehicles with P2-hybrid automatic transmissions
Peng Dong,
Sihao Wu,
Wei Guo,
Xiangyang Xu,
Shuhan Wang,
Yahui Liu
Mechanism and Machine Theory, vol.153, p.103899, 2020 (MMT)
Coordinated clutch control strategy for P2-hybrid transmissions.
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Blogs!
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Efficient and Generalized Deep Reinforcement Learning
Sihao Wu
Slightly change of environment will extremely impact RL agent performance, causing generalization problem.
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Data Augmentation for Deep Reinforcement Learning
Sihao Wu
Data augmentation can be used to enforce the learning of an invariant representations.
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Trustworthy ACPSLab introduction at DIF opening day
Sihao Wu, Wei Huang, Yi Qi, Yi Dong
Trustworthy ACPSLab is focusing on explaination, robustness, generalization, verification, validation and safety assurance for AI-based robotics.
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Services
Hobbies
