Papers
15
Total Citations
187
H-Index
5
About
Dr. Peng Ji is a leading researcher at the intersection of brain-machine interfaces, robotic manipulation, and human-robot interaction. His most impactful work, a 2017 study on closed-loop hybrid gaze brain-machine interfaces for robotic arm control with augmented reality feedback (72 citations), demonstrates his pioneering approach to assistive robotics—enabling paralyzed individuals to perform daily tasks through intuitive neural control. Dr. Ji has made significant contributions to improving robotic precision and stability, notably through his work on sliding mode control of manipulators (36 citations) and active disturbance rejection control for teleoperation systems (13 citations), effectively addressing critical challenges like chattering and jitter in robotic motion. His research portfolio also spans egocentric vision for reconnaissance robots (25 citations), fingertip detection using maximum discrimination HOG features (15 citations), and multi-robot cooperative semantic SLAM, showcasing his versatility across perception, control, and coordination. With over 170 total citations across his publications, Dr. Ji’s work continues to advance the frontiers of intelligent robotics, particularly in applications ranging from assistive technology to smart agriculture and cloud robotics.
Research Focus
Key Achievements
Top Papers
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- 7ABB-IRB120 Robot Modeling and Simulation Based on MATLAB4 citations · 2022
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- 10A Vision Based Multi-robot Cooperative Semantic SLAM Algorithm2 citations · 2022