Dulith Chinthaka
Papers
1
Total Citations
7
H-Index
1
About
Dulith Chinthaka is a researcher in assistive robotics and brain-machine interfaces (BMI), with a focus on developing intelligent systems to enhance mobility and independence for individuals with disabilities. His most-cited work, "Motor Imagery EEG-EOG Signals Based Brain Machine Interface (BMI) for a Mobile Robotic Assistant (MRA)" (2019, 7 citations), introduces a novel integration of motor imagery EEG and EOG signals to control a mobile robotic assistant—a wheelchair with a custom manipulation arm. This contribution addresses a critical gap in assistive technology by enabling hands-free, intuitive control for users with severe motor impairments. Chinthaka’s research combines signal processing, machine learning, and robotics to create practical, user-centered solutions. His work has been recognized for its potential to improve quality of life, and he continues to advance the field through interdisciplinary approaches that bridge neural signal decoding and real-world robotic applications.
Research Focus
Key Achievements
Top Papers
- 1