SANTOSH KUMAR
Ben-Gurion University of the Negev, Indian Institute of Technology Guwahati, Indian Institute of Technology (Indian School of Mines), Dhanbad, DIT University
0000-0002-7082-6620
About
Dr. Santosh Kumar is a Postdoctoral Researcher at Ben-Gurion University of the Negev, Israel. He obtained his Ph.D. in Mechanical Engineering from the Indian Institute of Technology Guwahati, India. His research focuses on robotics, advanced control systems, and artificial intelligence, with particular emphasis on the design and control of in-pipe robotic manipulators for crack detection and sealing.
His work integrates soft computing techniques such as Artificial Neural Networks (ANN), Adaptive Neuro-Fuzzy Inference Systems (ANFIS), and Reinforcement Learning (RL) with advanced sliding mode control strategies to address nonlinearities, uncertainties, and disturbances in robotic systems. He has developed novel control frameworks including neuro-compensated sliding mode control and reinforcement learning-assisted control for enhancing the performance and robustness of robotic manipulators.
Dr. Kumar has published several research articles in high-impact international journals such as Expert Systems with Applications, Applied Soft Computing, and Robotics and Autonomous Systems. His research also includes the development of a pipe crack sealing manipulator (PCSM), for which a patent application is currently under process.
His broader research interests include intelligent control of physical systems, human–robot interaction, and the application of AI-driven methods in robotics and automation.
Employment
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Ben-Gurion University of the Negev Postdoctoral researcher2025 - Present
Education
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Indian Institute of Technology Guwahati PhD2019 - 2025
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Indian Institute of Technology (Indian School of Mines), Dhanbad M.TECH2013 - 2015
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DIT University B.Tech2009 - 2013
Projects & Funding
Projects & funding information is unavailable.
Publications (16)
- Neural network-enhanced nonsingular fast terminal sliding mode control for pipe crack sealing manipulator Save
- Reinforcement learning-driven nonsingular fast terminal sliding mode control for pipe crack sealing manipulator Save
- Assessment of reaching laws for linear and nonlinear sliding surfaces: Improving performance of pipe crack sealing manipulator Save
- Actor-Critic Neural Network Based Sliding Mode Control with Nonlinear Surface for Pipe Crack Sealing Manipulator Save
- Actor-Critic Neural Network Based Sliding Mode Control with Nonlinear Surface for Pipe Crack Sealing Manipulator Save
- Advanced and Robust Sliding Mode Control Strategies for Pipe Crack Sealing: A Comparative Study Save
- Neuro compensated sliding mode control with nonlinear surfaces for pipe crack sealing manipulator Save
- Model-based PD neural network control for pipe crack sealing manipulator Save
- ANFIS-Based Crack Sealing in Concrete Pipes Using a Pipe Crack Sealing Manipulator Save
- Assessment of Reaching Laws for Linear and Nonlinear Sliding Surfaces: Improving Performance of Pipe Crack Sealing Manipulator Save