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
Top Papers
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