Linsen Yang

University of Science and Technology Beijing

Papers

Total Citations

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About

Linsen Yang is a robotics researcher whose work bridges soft robotics and real-time embedded vision systems. His primary research areas include dynamics modeling of continuum manipulators and FPGA-based high-speed visual tracking for resource-constrained platforms. Yang’s most notable contribution is the development of a dynamic model for soft robotic arms grounded in Cosserat rod theory—a significant departure from conventional kinematic-only approaches. Published in 2021, this work (6 citations) provides a rigorous framework for understanding the motion and forces in soft, flexible structures, enabling more precise control and simulation. In parallel, Yang addressed the computational bottlenecks of aerial robotics with his 2016 paper on FPGA-accelerated target tracking (3 citations). This work demonstrated how to offload intensive image processing onto lightweight hardware, overcoming the payload and power limitations of micro aerial vehicles. By tackling both the theoretical challenges of soft robot dynamics and the practical constraints of embedded vision, Yang’s research offers valuable tools for engineers developing safer, more agile robots—from medical manipulators to autonomous drones.