Xuancen Liu

National University of Defense Technology

Papers

Total Citations

H-Index

About

Xuancen Liu is a robotics researcher whose work bridges aerial manipulation, bionic design, and real-time computer vision. His primary research areas include unmanned aerial vehicles (UAVs) for explosive ordnance disposal (EOD), robotic gripper design inspired by biological systems, and intelligent object detection for autonomous operations. Liu’s major contributions lie in developing integrated UAV systems that combine mechanical manipulators with deep learning-based object detection, enabling safer and more effective EOD missions in complex terrains—a critical advancement for military and civilian bomb disposal. His work on a bionic robotic capturing system, inspired by net-casting spiders, addresses the formidable challenge of grasping noncooperative flying objects, achieving high-precision tracking and manipulation that could revolutionize drone interception and aerial robotics. With his most-cited paper accumulating 6 citations and his bionic design study gaining 4 citations in a short time, Liu’s research is gaining traction in the robotics community. Notably, his 2023 publication in a leading journal showcases his ability to translate biological principles into practical engineering solutions, positioning him as an emerging innovator in autonomous aerial systems and bio-inspired robotics.