Papers
20
Total Citations
611
H-Index
10
About
Du Jiang is a leading researcher in robotics and intelligent control, with a focus on trajectory optimization, grasping planning, and human-robot interaction. His work spans digital twin technology, manipulator kinematics, and rehabilitation robotics, where he has made significant contributions to improving robot autonomy in unstructured environments. Notably, his 2022 paper on "Genetic Algorithm-Based Trajectory Optimization for Digital Twin Robots" has garnered 156 citations, showcasing its impact on manufacturing efficiency. He also advanced inverse kinematic solutions using an improved particle swarm algorithm (78 citations) and developed grasping posture methods based on target shape analysis (75 citations). Du's research extends to surface electromyography (sEMG)-based gesture recognition for rehabilitation robots (65 citations) and real-time grasp detection via cascaded deep convolutional neural networks (56 citations). His review papers on rehabilitation robots (21 and 19 citations) underscore his dedication to assistive technologies. With over 500 total citations, Du Jiang's work bridges theoretical algorithms and practical robotic systems, making him a key figure in modern robotics.
Research Focus
Key Achievements
Top Papers
- 1Genetic Algorithm-Based Trajectory Optimization for Digital Twin Robots156 citations · 2022
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- 7A review of rehabilitation robot21 citations · 2017
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- 9A Review of Upper and Lower Limb Rehabilitation Training Robot19 citations · 2017
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