Kasra Esfandiari
Papers
2
Total Citations
11
H-Index
2
About
Kasra Esfandiari is a researcher specializing in adaptive control, neural networks, and the dynamics of complex robotic and multivariable systems. His work focuses on developing intelligent control strategies for systems operating under significant uncertainty, where traditional models fail. A key contribution is his pioneering approach to cooperative robotic manipulation, as detailed in his most cited work, "Adaptive control of unknown robotic systems cooperating on handling of an unknown object" (2015, 7 citations). This paper breaks new ground by assuming the manipulators' dynamics are entirely unknown, removing the need for a priori system information—a major departure from prior literature. He further advances the field in "Neural network-based adaptive control of uncertain multivariable systems: Theory and experiments" (2016, 4 citations), where he designs a neural network-based controller for complex, nonaffine multi-input multi-output (MIMO) systems with unknown nonlinearities. By combining rigorous theory with experimental validation, Esfandiari’s work provides robust, practical solutions for next-generation autonomous systems, making him a notable figure in adaptive and intelligent control.
Research Focus
Key Achievements
Top Papers
- 1
- 2