Qingsong He

Chongqing University of Technology

Papers

3

Total Citations

20

H-Index

3

About

Qingsong He is a robotics researcher whose work centers on two critical challenges in modern automation: creating safer, more adaptable robot joints and optimizing the logistics of medical supply chains. His most impactful contribution is the design and analysis of a novel variable stiffness joint (VSJ-RP), which uses a rack and pinion mechanism to dynamically adjust joint rigidity. This innovation directly addresses the need for robots that can balance compliance, safety, and energy efficiency—a key requirement for human-robot interaction. With 10 citations, this work has already drawn attention from peers working on soft and collaborative robotics. He has also made significant strides in medical logistics, developing a new path optimization method for fast medicine dispensing systems (FMDS). By reframing the replenishment problem as a two-step optimization—drawing on traveling salesman and vehicle routing models—his approach reduces time costs and ensures uninterrupted drug dispensing. His 2021 paper on this topic has garnered 7 citations, and a follow-up study has added 3 more, reflecting growing interest in efficient healthcare automation. Through these contributions, He is helping to shape a future where robots are both more physically adaptable and operationally intelligent.

Research Focus

Key Achievements

3
H-Index
3
Papers
20
Total Citations
7
Avg Citations/Paper
🏆 Most Cited Paper
Design and Analysis of a Novel Variable Stiffness Joint for Robot
10 citations · 2022
📈 Most Prolific Year: 2021 (2 Papers)
🤝 Key Collaborators: 8
🏛 Institutions: Chongqing University of Technology

Top Papers

  1. 1
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  3. 3

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago