Papers
1
Total Citations
2
H-Index
1
About
Saket is a robotics researcher whose early work focused on enabling autonomous robots to perceive and navigate their environments using low-cost sensors. His most-cited paper, "A novel approach for path planning, area explore and area retrieval of an autonomous robot using the low-cost infrared sensors" (2012), introduced innovative algorithms that allow robots to analyze physical characteristics of an arena by detecting intense, sudden changes in sensor readings. This work laid a foundation for cost-effective autonomous exploration and retrieval, demonstrating how simple infrared sensors could replace more expensive systems. While his citation count remains modest, Saket's contributions are notable for their practical, resource-conscious approach to robotics—an increasingly important consideration in field applications. His research bridges the gap between theoretical path planning and real-world implementation, offering scalable solutions for autonomous systems. For students and researchers interested in accessible robotics, Saket's work exemplifies how clever algorithmic design can maximize the potential of minimal hardware, making autonomous navigation more attainable in educational and low-resource settings.
Research Focus
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Top Papers
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