Handri Toar

Papers

Total Citations

H-Index

About

Handri Toar’s research focuses on the intersection of computer vision and robotics, particularly in developing intuitive human-robot interaction systems. His most cited work, “Hand Tracking-based Motion Control for Robot Arm Using Stereo Camera” (2018), introduces a novel method for controlling robotic arms through real-time hand gesture recognition. By employing a stereo camera to capture three-dimensional hand movements, Toar’s system tracks pitch, yaw, and roll motions, translating them into precise robotic commands. This approach eliminates the need for traditional controllers, enabling more natural and accessible robot operation. With 3 citations, this foundational paper demonstrates early impact in the field of vision-based motion control. Toar’s contributions are particularly valuable for applications in assistive robotics and industrial automation, where intuitive interfaces can reduce training time and enhance efficiency. His work exemplifies how stereo vision can bridge the gap between human intent and machine action, paving the way for more responsive and user-friendly robotic systems.