Jianyong Long
Hunan University, Wuhu Hit Robot Technology Research Institute
Papers
5
Total Citations
131
H-Index
5
About
Jianyong Long is a researcher specializing in advanced force sensing technologies, medical and collaborative robotics, and intelligent robotic perception systems. His work centers on the development of Fiber Bragg Grating (FBG)-based force sensors, a field in which he has made particularly significant contributions. His highly cited 2018 review on multi-component FBG force sensing systems (65 citations) established a comprehensive comparative framework for understanding force measurement technologies across multiple axes, becoming a key reference in the field. Building on this foundation, Long developed an ultrathin three-axis FBG wrist force sensor for collaborative robots (34 citations), demonstrating practical innovations in human-robot interaction. His 2024 work on a novel FBG three-dimensional force sensor for medical robotics further advances miniaturized, self-decoupling sensor design for precision medical applications. Beyond sensing hardware, Long has extended his research into robotic intelligence, exploring convolutional neural network frameworks for fruit recognition in agricultural robotics and multimodal object recognition for flexible robotic grippers. Collectively, his contributions reflect a cohesive research vision — bridging precise physical sensing with intelligent robotic systems — making him a notable contributor to the evolving field of smart robotics and human-robot collaboration.
Research Focus
Key Achievements
Top Papers
- 1
- 2Ultrathin Three-Axis FBG Wrist Force Sensor for Collaborative Robots34 citations · 2021
- 3
- 4Apple recognition based on Convolutional Neural Network Framework12 citations · 2018
- 5