Brejesh Lall
Papers
10
Total Citations
30
H-Index
3
About
Brejesh Lall is a leading researcher at the intersection of robotics, haptic systems, and next-generation communication networks. His work focuses on enabling seamless human-robot interaction through tactile internet, edge intelligence, and real-time teleoperation. Lall has made significant contributions to depth sensing and object tracking, including the development of a real-time ball trajectory follower using Robot Operating System and multi-fish detection and tracking with RGB-D sensors. His recent research explores human intent prediction in assistive robotic teleoperation, leveraging kinaesthetic and visual feedback to enhance manipulation tasks. Lall is also pioneering the integration of Open Radio Access Networks (O-RAN) for real-time robotic teleoperation and semantic-based full-duplex cooperative communication for haptic interactions. His work on edge-driven split-control in bilateral teleoperation and vision-based wrist localization with Kalman-filter stabilization has advanced the feasibility of remote robot control. With over 30 citations across his most-cited papers, Lall’s research is shaping the future of tactile systems, edge intelligence, and human-robot collaboration, making him a key figure in the development of intelligent, responsive robotic systems for real-world applications.
Research Focus
Key Achievements
Top Papers
- 1Depth analysis of kinect v2 sensor in different mediums7 citations · 2021
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- 3A real-time ball trajectory follower using Robot Operating System4 citations · 2015
- 4Multi Fish Detection and Tracking Using RGB-D Vector3 citations · 2022
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