Papers

2

Total Citations

6

H-Index

1

About

Shilong Qin is a researcher at the forefront of intelligent robotics and micro-bioprocessing, whose work bridges the gap between autonomous navigation and precision biological manipulation. In robotics, Qin developed a groundbreaking path-planning framework using spatiotemporal grid maps that unify static and dynamic obstacle representation. By enhancing the Dynamic Window Approach (DWA) algorithm, their 2021 work enables robots to adapt in real-time to moving environments—a critical advancement for autonomous systems in warehouses, hospitals, and public spaces. This paper has garnered 5 citations, establishing a foundation for safer, more responsive robot navigation. Simultaneously, Qin is pioneering high-precision micro-manipulation through optoelectronic tweezers (OETs). Their 2024 study introduces a high-compatibility method for isolating individual microalgal cells in their native liquid environment, achieving unprecedented purity for applications in environmental monitoring, aquaculture, and biofuel development. Though newly published with 1 citation, this work promises to revolutionize single-cell analysis and bioprocessing. Qin’s dual expertise—merging macro-scale robotic intelligence with micro-scale cellular handling—positions them as an innovator solving complex, cross-disciplinary challenges. Their research not only advances autonomous systems but also unlocks new possibilities in sustainable biotechnology and precision medicine.

Research Focus

Key Achievements

1
H-Index
2
Papers
6
Total Citations
3
Avg Citations/Paper
🏆 Most Cited Paper
Research on Intelligent Robot Path Planning Based on Spatiotemporal Grid Map in Dynamic Environment
5 citations · 2021
📈 Most Prolific Year: 2021 (1 Papers)
🤝 Key Collaborators: 10
🏛 Institutions: National University of Defense Technology, Beijing Institute of Technology

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago