Yanran Wang is a Ph.D. student at Imperial College London, where he is co-supervised by Dr. David Boyle and Prof. Robert Shorten. Currently, he is working in Systems and Algorithms Laboratory (SysAL). Prior to joining Imperial College, he received a M.S. degree in Information and Control at Shanghai Jiao Tong University, Shanghai, China, in 2020, and a B.S. degree in Automation at Southeast University, Nanjing, China, in 2017.
His research interests mainly include Trustworthy Autonomous System Design through Formal Guarantees on Interpretable reinforcement learning and optimal control theories. Particularly, he is interested in the theories and algorithms that empower aerial robots to see and think more intelligent. In addition to scientific research, he loves classic music and sports!
Please feel free to contact should you be interested in his research.
- September 10, 2022, our paper “QuaDUE-CCM: Interpretable Distributional Reinforcement Learning using Uncertain Contraction Metrics for Precise Quadrotor Trajectory Tracking” is accepted to CoRL 2022.
- July 15, 2022, our paper “Interpretable Stochastic Model Predictive Control using Distributional Reinforced Estimation for Quadrotor Tracking Systems” is accepted to CDC 2022.
- May 26, 2022, I will give an oral presentation on ICRA 2022 in person, in Philadelphia. Hopefully see you all!
- January 31, 2022, our paper “KinoJGM: A framework for efficient and accurate quadrotor trajectory generation and tracking in dynamic environments” is accepted to ICRA 2022 (Philadelphia, United States)!
- November 4, 2021, I just pass my Early Stage Accessment (ESA) :)
- May 1, 2021, I am very excited to enroll in Dyson School at Imperial College as a new PhD student. An exciting journey has begun!
- April 1, 2020, I will be a PhD student in Imperial College London.
- March 31, 2020, I graduate with a master’s degree (with honor) in Shanghai Jiao Tong University.