G. S. Thejas

About

G. S. Thejas is a researcher whose work lies at the intersection of robotics, sensor fusion, and intelligent navigation systems. His most cited paper, "A Low Cost Multi Sensorial Data Fusion for High Speed Obstacle Avoidance Using 3-D Point Clouds and Image Processing in Self Balancing Robots" (2017, 4 citations), addresses a fundamental challenge in modern robotics: enabling self-balancing robots to navigate congested environments safely and efficiently. By integrating 3-D point cloud data with image processing, Thejas proposed a low-cost, multi-sensorial approach that enhances real-time obstacle avoidance—a critical capability for autonomous systems operating in dynamic, traffic-heavy settings. This contribution is particularly notable for its practical emphasis on affordability and high-speed performance, bridging the gap between advanced sensor technology and real-world deployment. Thejas’s work demonstrates a clear commitment to solving pressing problems in autonomous navigation, offering scalable solutions that could influence future developments in service robotics and intelligent transportation systems. His research continues to inspire students and engineers exploring the frontiers of sensor fusion and robotic autonomy.

Research Focus

Key Achievements

Top Papers

1. 1
   A Low Cost Multi Sensorial Data Fusion for High Speed Obstacle Avoidance Using 3-D Point Clouds and Image Processing in Self Balancing Robots

   4 citations · 2017

Key Collaborators

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