Karan Sehgal
Papers
1
Total Citations
4
H-Index
1
About
Karan Sehgal is a robotics researcher whose work focuses on the modeling and control of reconfigurable mobile robots—machines capable of altering their morphology during operation. His most-cited paper, "Backstepping based Trajectory Tracking Control of a Class of Reconfigurable Mobile Robot" (2021), addresses a fundamental challenge in this field: ensuring precise trajectory tracking despite the dynamic changes in robot structure. By applying backstepping control theory, Sehgal provides a robust framework for maintaining stability and accuracy as robots reconfigure for tasks such as cleaning, spacecraft maintenance, and surveillance. Though his citation count is currently modest at 4, this work represents a significant step toward practical deployment of adaptive robotic systems. Sehgal’s research bridges control theory and real-world engineering, offering solutions for robots that must navigate unstructured environments. His contributions are particularly relevant for students and researchers interested in nonlinear control, mobile robotics, and the design of versatile autonomous systems. As reconfigurable robots gain traction in industry, Sehgal’s foundational work positions him as a rising voice in this emerging domain.
Research Focus
Key Achievements
Top Papers
- 1