Xingdong Liu

Papers

Total Citations

H-Index

About

Xingdong Liu is a robotics researcher whose work centers on advancing autonomous navigation and dexterous manipulation for mobile and humanoid robots. His key research areas include simultaneous localization and mapping (SLAM) for indoor mobile robots and the mechanical design of anthropomorphic robotic hands. Liu’s major contribution lies in addressing critical hardware limitations in SLAM systems, where he proposed novel methods to overcome map mismatches and localization errors caused by the wide-angle constraints of binocular and RGB-D cameras. This work, published in 2018, has garnered 2 citations and provides a foundational approach for more reliable robot obstacle avoidance and autonomous navigation. In parallel, Liu led the design and development of the BIT-JOCKO robotic hand, a lightweight, 20-degree-of-freedom anthropomorphic hand featuring individually controlled servomotors and a specially designed worm-gear mechanism for bidirectional bending. This 2019 paper, also with 2 citations, showcases his ability to integrate mechanical innovation with practical dexterity, pushing the boundaries of robotic manipulation. Liu’s work bridges critical gaps in perception and actuation, offering tangible solutions for next-generation service and industrial robots.