Qiusheng Liu

Beijing Institute of Technology, Tsinghua University

Papers

Total Citations

H-Index

About

Qiusheng Liu is a pioneering researcher in humanoid robotics and human–robot interaction, with a career focused on advancing teleoperation systems and intelligent locomotion. His most cited work introduces a multi-modal teleoperation framework for the BHR-01 humanoid robot, integrating keyboards, a mouse, and a master arm to enable intuitive control of different robotic subsystems—a foundational contribution that has garnered 22 citations. Building on this, Liu explored human walking pattern recognition using ground reflex pressure (GRF) signals, developing algorithms that combine kernel principal component analysis (KPCA) with support vector machines (SVM) to classify gait patterns with high accuracy. This work, cited 16 times, demonstrates his ability to bridge sensing, dimensionality reduction, and machine learning for real-world applications. His 2004 study on humanoid teleoperation further established remote cockpit strategies and manipulation techniques, earning 10 citations. Across these contributions, Liu has shaped how operators interact with humanoid robots, emphasizing feedback control and operational versatility. His research remains influential in teleoperation, gait analysis, and assistive robotics, offering a strong foundation for students and researchers exploring embodied intelligence and human-centered automation.