Azrad Kherani
Papers
1
Total Citations
2
H-Index
1
About
Azrad Kherani is a researcher at the intersection of computer vision, robotics, and human-robot interaction, with a primary focus on enhancing teleoperation systems. His most notable contribution, "Vision-based human wrist localization and with Kalman-filter backed stabilization for Bilateral Teleoperation of Robotic Arm," introduces a robust method for real-time wrist tracking that leverages Kalman filtering to mitigate sensor noise and motion jitter. This work directly addresses a critical challenge in bilateral teleoperation—achieving stable, intuitive control of robotic arms through natural human gestures. By improving localization accuracy and reducing latency, Kherani’s approach enables more seamless and responsive remote manipulation, with potential applications in surgical robotics, hazardous environment operations, and assistive technologies. Though early in his career, his work has already garnered attention, accumulating citations that underscore its relevance to advancing teleoperation fidelity. Kherani’s research promises to bridge the gap between human intent and robotic action, paving the way for more dexterous and reliable human-robot collaboration in complex tasks.
Research Focus
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Top Papers
- 1