Papers
23
Total Citations
230
H-Index
9
About
Chin-Sheng Chen is a prolific robotics and intelligent systems researcher whose work spans brain-computer interfaces, robotic manipulation, autonomous navigation, and human-robot interaction. With a career rooted in advancing practical robotic applications, Chen has made significant contributions to fields that bridge cutting-edge technology with real-world human needs. Among his most impactful contributions is pioneering work on EEG-based brain-computer interface systems for electric wheelchair control, offering critical solutions for individuals with severe motor disabilities such as ALS and multiple sclerosis (33 citations). His research on 3D object recognition using modified viewpoint feature histograms has advanced robotic grasping capabilities (22 citations), while his development of non-contact service robots for fast-food environments addresses pressing workforce challenges in aging societies (23 citations). Chen's expertise extends to advanced control systems, including model reference adaptive control for gantry robots, learning-from-demonstration methodologies using hierarchical BiLSTM classifiers, and deep residual neural networks for industrial defect detection. His FPGA-based kinematics implementations further demonstrate his commitment to hardware-level robotics optimization. Collectively accumulating nearly 185 citations across his most recognized works, Chen's research consistently transforms theoretical robotics concepts into meaningful, human-centered applications, making him a valuable voice in modern intelligent systems engineering.
Research Focus
Key Achievements
Top Papers
- 1An Electric Wheelchair Manipulating System Using SSVEP-Based BCI System33 citations · 2022
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- 3Non-Contact Service Robot Development in Fast-Food Restaurants23 citations · 2022
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- 5Deep Residual Neural Network-Based Defect Detection on Complex Backgrounds20 citations · 2022
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