Lijin Han

Papers

Total Citations

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About

Lijin Han is a researcher at the forefront of advanced robotics and autonomous systems, with a primary focus on the mechanical and control design of high-performance actuators for wheel-legged robots. His most impactful work, "Design and Experiments of Electro-Hydrostatic Actuator for Wheel-Legged Robot with Fast Force Control Response" (2023, 17 citations), addresses a critical bottleneck in large-scale mobile robotics: the limited performance of joint actuators. By proposing a highly integrated electro-hydrostatic actuator, Han’s research enables wheel-legged robots to achieve both high-speed mobility and superior terrain adaptability, bridging the gap between wheeled vehicles and legged platforms. His contributions extend to power system optimization for these hybrid vehicles, as seen in his 2021 work on parameter matching and simulation. Additionally, Han has ventured into perception for robotics, co-authoring a comprehensive 2022 review on deep learning-based 3D object detection in indoor environments, providing a valuable resource for researchers moving beyond autonomous driving contexts. With a growing citation record, Han’s work is pivotal for advancing the practical deployment of agile, force-responsive robots in complex real-world environments.