Nilesh Kulkarni
Papers
1
Total Citations
4
H-Index
1
About
Nilesh Kulkarni is a researcher in robotics and adaptive control systems, with a focus on developing intelligent controllers for robots operating under unknown dynamics. His most cited work, "Modeling Error Driven Robot Control" (2009), introduces a novel adaptive control strategy that leverages modeling error—typically discarded in conventional approaches—to improve robot performance. By employing feedback linearization, Kulkarni demonstrates how modeling error can be estimated and used to drive parameter adaptation, enabling robots to learn and adjust in real-time without prior knowledge of their dynamics. This contribution offers a practical solution for enhancing robustness in robotic systems facing uncertainties. With 4 citations, this paper has influenced subsequent research in adaptive and learning-based control. Kulkarni’s work bridges theoretical control design and real-world robotic applications, making it relevant for students and researchers interested in autonomous systems, nonlinear control, and robot learning. His approach underscores the value of rethinking standard assumptions in control theory to achieve more adaptive and resilient robotic behavior.
Research Focus
Key Achievements
Top Papers
- 1Modeling Error Driven Robot Control4 citations · 2009