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Qi Li graduated from Chinese University of Earth Science (Wuhan) with a bachelor's degree in mechanical engineering. After 5 years as a mechanical engineer, he studied mechanical engineering with applied computer science (specializing in robotics) at RPTU (Rhineland-Palatinate Technical University of Kaiserslautern-Landau) as part of his master's degree. He finished his master thesis titled "Off-Road Driving Strategies based on Enviromental Data and Object Tracking for Tandem Rollers".
Since September 2023, he is a PhD student in AG Robotics Systems. His research focuses on robot perception, planning and control.
Publications
2026
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- Learning Vision-Based Control for Autonomous Roadside Mowing.
The 23rd International Conference on Ubiquitous Robots, (2026) - Residual Reinforcement Learning for Waste-Container Lifting Using Large-Scale Cranes with Underactuated Tools.
arxiv, (2026) - Towards Autonomous Suction Excavation. Overview, Application and Approaches.
9th Internationales Commercial Vehicle Technology Symposium Kaiserslautern, (2026) - Waste-Container Lifting Using Residual Reinforcement Learning On Large-Scale Crane with Underactuated Tools.
The 39th Canadian Conference on Artificial Intelligence, (2026)