Papers
6
Total Citations
96
H-Index
5
About
Dr. Shih-Kang Chen is a pioneering researcher at the intersection of brain-computer interfaces (BCIs) and advanced robotic manipulation. His work focuses on developing intuitive control systems that bridge human intent and machine action, with particular emphasis on assistive technologies and intelligent manufacturing. Dr. Chen’s most impactful contribution is his 2022 study on an SSVEP-based BCI system for electric wheelchair control, which has garnered 33 citations and offers a lifeline to individuals with severe motor disabilities like multiple sclerosis and ALS. He has also made significant strides in robotic learning and control, including a 2019 paper (29 citations) on synchronizing tool tip trajectory and attitude for 6-DOF robot manipulators, and a 2020 work (18 citations) introducing a hierarchical BiLSTM classifier for recognizing sequential motion primitives from human demonstration. His innovative approach extends to real-time NURBS curve fitting and collision avoidance path planning for robotic arms. Notably, Dr. Chen has advanced BCI technology by integrating real-time camera views with object recognition, moving beyond traditional pre-defined stimuli to create more flexible, real-world applicable systems. His work represents a compelling fusion of neural engineering and robotics, pushing the boundaries of human-machine collaboration.
Research Focus
Key Achievements
Top Papers
- 1An Electric Wheelchair Manipulating System Using SSVEP-Based BCI System33 citations · 2022
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- 6Collision avoidance path planning for the 6-DOF robotic manipulator5 citations · 2016