Sanjeev Kaushik Ramani
Papers
2
Total Citations
7
H-Index
2
About
Sanjeev Kaushik Ramani is a robotics researcher whose work centers on autonomous navigation and sensor fusion for self-balancing robotic platforms. His primary contributions lie in developing low-cost, multi-sensorial data fusion techniques that integrate 3-D point clouds with image processing to enable high-speed obstacle avoidance. This approach addresses the fundamental challenge of efficient road navigation, particularly the complex dynamics of traffic congestion circumvention when using self-balancing robots. His most-cited papers, including "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), have garnered a combined 7 citations, establishing a foundation for cost-effective autonomy in agile robotic systems. By amalgamating navigation with the unique stability requirements of self-balancing robots, Ramani’s work tackles a niche yet critical intersection of control systems and computer vision. His research offers practical solutions for real-world deployment, making autonomous robots more accessible and responsive in dynamic environments. For students and researchers, Ramani’s contributions highlight the importance of sensor integration and algorithmic efficiency in pushing the boundaries of mobile robotics.
Research Focus
Key Achievements
Top Papers
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- 2