Papers
1
Total Citations
4
H-Index
1
About
Keshav is a robotics researcher whose work centers on the control and navigation of reconfigurable mobile robots—systems capable of altering their morphology during operation to adapt to diverse tasks. His most-cited paper, "Backstepping based Trajectory Tracking Control of a Class of Reconfigurable Mobile Robot" (2021, 4 citations), introduces a novel control approach that addresses the unique challenges posed by these adaptable platforms. By applying backstepping techniques, Keshav enables precise trajectory tracking despite the dynamic changes in robot structure, a critical capability for applications ranging from cleaning and spacecraft maintenance to surveillance. This contribution helps bridge the gap between theoretical control design and practical deployment in unstructured environments. While still early in his career, Keshav’s work lays a foundation for more robust and versatile robotic systems, highlighting the potential of reconfigurable robots to perform complex, real-world tasks that fixed-morphology robots cannot. His research is particularly valuable for students and engineers interested in the intersection of adaptive robotics and advanced control theory.
Research Focus
Key Achievements
Top Papers
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