Papers

11

Total Citations

100

H-Index

7

About

Lingfeng Sang is a robotics and mechanical engineering researcher whose work spans assistive robotics, rehabilitation systems, and advanced mechanism design. His research is driven by a commitment to addressing real-world challenges in healthcare and mobility, particularly for elderly, disabled, and hospitalized populations. Sang's most influential contribution, his 2019 study on a wheelchair-stretcher assistive robot (27 citations), exemplifies his ability to translate complex mechanical innovation into practical caregiving solutions, integrating mecanum wheel technology to address the physiological needs of patients with limited mobility. His parallel mechanism expertise is further demonstrated through pioneering work on quadruped walking robots (18 citations, 2013), where he rigorously analyzed kinematics and dynamics to advance legged locomotion research. He has also made notable strides in rehabilitation robotics, developing multi-objective optimization approaches for upper limb exoskeleton inverse kinematics (12 citations, 2024) and introducing a linear motion planning method for lower-limb rehabilitation systems. More recently, Sang has expanded into intelligent medical imaging, designing an autonomous ultrasound scanning robot using posture recognition and image servo control for cardiac diagnostics (8 citations, 2024). Across more than a decade of research, his body of work reflects a consistent focus on improving human welfare through intelligent, purpose-built robotic systems.

Research Focus

Key Achievements

7
H-Index
11
Papers
100
Total Citations
9
Avg Citations/Paper
🏆 Most Cited Paper
Analysis, Design, and Experimental Research of a Novel Wheelchair-Stretcher Assistive Robot
27 citations · 2019
📈 Most Prolific Year: 2013 (3 Papers)
🤝 Key Collaborators: 35
🏛 Institutions: Tokyo Institute of Technology, Yanshan University, Ningbo Polytechnic

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago