Papers
1
Total Citations
3
H-Index
1
About
Xiuli Jiang is a rising researcher in humanoid robotics and human-robot interaction (HRI), with a focus on enabling fluid, intuitive motion transfer between humans and multi-robot systems. Her most-cited work, "Multi-Humanoid Robot Arm Motion Imitation and Collaboration Based on Improved Retargeting" (2025, 3 citations), tackles a fundamental challenge in HRI: the structural and kinematic disparities between human bodies and robots. Jiang’s major contribution lies in developing an improved retargeting framework that accounts for differences in joint range, torque, and limb proportions, allowing multiple humanoid robots to accurately imitate and collaboratively perform complex arm motions from a single human demonstrator. This work has immediate implications for industrial co-bot teams, disaster response, and assistive robotics, where seamless human-to-robot skill transfer is critical. Though early in her career, Jiang’s research has already been recognized for its practical approach to bridging the gap between human motion and robotic execution. Her ongoing work promises to advance the frontiers of multi-agent collaboration and embodied intelligence, making her a researcher to watch in the evolving landscape of humanoid robotics.
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Top Papers
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