Chameera Sandaruwan
Papers
2
Total Citations
42
H-Index
2
About
Chameera Sandaruwan is a researcher at the forefront of assistive robotics, with a focused expertise in developing intelligent systems to enhance the quality of life for individuals with physical disabilities. His primary research areas center on human-robot interaction, biomedical signal processing, and the design of assistive technologies for activities of daily living. Sandaruwan’s major contribution lies in advancing meal assistance robots, addressing the critical need for autonomous self-feeding solutions as the global caregiving workforce declines. His seminal 2015 review, cited 39 times, provides a comprehensive analysis of the field’s status, challenges, and future directions, establishing a foundational roadmap for subsequent innovations. Building on this, his 2016 work pioneered the use of Electrooculography (EOG) signals—detecting eye movements—to control a meal assistance robot, offering a non-invasive, intuitive interface for users with limited motor function. This integration of biomedical signals with robotic control represents a significant step toward more accessible and responsive assistive devices. Sandaruwan’s research not only highlights the technical feasibility of such systems but also underscores their profound potential to restore independence and dignity to those in need, making him a notable contributor to the evolving landscape of assistive robotics.
Research Focus
Key Achievements
Top Papers
- 1
- 2Electrooculography Signal based Control of a Meal Assistance Robot3 citations · 2016