Jiaoliao Chen
Papers
6
Total Citations
128
H-Index
5
About
Dr. Jiaoliao Chen is a leading researcher in robotics and intelligent control systems, with a primary focus on industrial robot manipulation, trajectory planning, and sensorless force estimation. Their most significant contributions lie in developing novel motion optimization algorithms that dramatically enhance the efficiency and precision of robotic manipulators. Dr. Chen’s 2019 work on dynamic modeling using a centrosymmetric static friction model and whale genetic optimization algorithm has garnered 47 citations, establishing a foundation for accurate robot control. Their 2022 point-to-point trajectory planning algorithm, which minimizes execution time for pick-and-place operations, has been cited 30 times and is critical for industrial productivity. Dr. Chen has also advanced real-time agricultural robotics, as demonstrated by their 2024 ESP-YOLO network for detecting mature table grapes (21 citations), and pioneered external force estimation techniques using hybrid friction models and improved Kalman filters (14 citations). Their multi-point trajectory generator and energy optimization strategies for quadruped robots further showcase their versatility. With over 128 total citations across these works, Dr. Chen’s research bridges theoretical modeling and practical deployment, offering transformative solutions for manufacturing, agriculture, and autonomous systems.
Research Focus
Key Achievements
Top Papers
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