Prajjwal Prem Jamdagni
Papers
1
Total Citations
2
H-Index
1
About
Prajjwal Prem Jamdagni is a robotics researcher whose work focuses on autonomous navigation and computer vision for mobile robots in unknown environments. His most cited paper, "Obstacle avoidance for mobile robot navigation in unknown environment using geometrical information of mobile camera images" (2014), introduces a novel algorithm that leverages geometric analysis of image distances to enable real-time obstacle avoidance. By incorporating a pan-capable mobile camera to expand the robot's field of view, Jamdagni's approach uses low-level image properties to guide navigation without requiring prior environmental maps. This contribution addresses a fundamental challenge in robotics—safe movement through unstructured spaces—and has garnered 2 citations, reflecting its niche but practical impact. Jamdagni's work bridges computer vision and control systems, offering a computationally efficient solution for robots operating in dynamic settings. His research is particularly relevant for applications in search-and-rescue, autonomous exploration, and service robotics, where adaptability and low-cost sensing are critical. By prioritizing geometric simplicity over complex sensor arrays, Jamdagni demonstrates a resourceful approach to robot autonomy, making his findings valuable for students and engineers seeking accessible yet robust navigation strategies.
Research Focus
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Top Papers
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