Papers
10
Total Citations
70
H-Index
5
About
Yongkang Xu is a robotics and autonomous systems researcher whose work spans intelligent transportation, mobile robot control, and human-robot interaction. His research has gained significant traction, particularly in the emerging field of Roll-On/Roll-Off (RO/RO) logistics terminal automation, where his contributions to autonomous vehicle transfer robots have rapidly accumulated over 48 citations across multiple 2025 publications alone. Xu's most impactful work centers on designing embodied intelligence architectures and control frameworks for autonomous robots operating in complex logistical environments. His leading paper on "Embodied Intelligence in RO/RO Logistic Terminal" (22 citations) exemplifies his ability to bridge theoretical robotics with real-world industrial deployment. Complementing this, his impedance-based Model Predictive Control approach for active suspension systems addresses vehicle body stability on rugged terrain — a nuanced contribution tackling roll torque disturbances often overlooked in prior research. Beyond logistics, Xu has demonstrated versatility through work on six-wheel-drive skid-steering robots, spatio-temporal graph networks for real-time trajectory planning, and EMG/IMU-powered teleoperation with passivity adaptation. His early explorations in energy management for medical rescue robots further reflect a commitment to practical, safety-critical applications. Collectively, Xu's growing body of work positions him as a rising voice in autonomous mobile robotics and intelligent transportation systems.
Research Focus
Key Achievements
Top Papers
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- 6Differential Steering Control for 6 × 6 Wheel-drive Mobile Robot5 citations · 2021
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- 10Energy Management for Medical Rescue Robot2 citations · 2020