About
Roboticist
Driven by a passion for enhancing human-robot collaboration and a deep-rooted commitment to healthcare innovation, I have dedicated my career to pushing the boundaries of technology and engineering. My journey began at Gujarat Technological University, where my academic excellence in Biomedical Engineering laid the foundation for my aspirations. I further honed my expertise at the Indian Institute of Technology Gandhinagar, pursuing a Ph.D. in Mechanical Engineering with a specialization in robotic manipulators inspired by human learning mechanisms.
My academic pursuits have been complemented by a series of enriching professional experiences across the globe, including research scholarships at prestigious institutions such as the Technical University of Vienna and The University of Texas at Austin. These opportunities have enabled me to contribute to projects at the forefront of human-robot interaction and medical device innovation.
Beyond my technical contributions, I have shared my knowledge and enthusiasm for robotics and control theory as a Graduate Teaching Fellow, shaping the minds of future engineers. My research, documented in numerous publications and recognized with awards like the Regional Finale of Boeing BUILD, underscores my commitment to advancing our understanding and application of robotics. When not immersed in research or teaching, I find solace in tinkering with electronics, exploring the harmonies of musical instruments, and embracing the tranquility of nature.
- Email: shail-dot-jadav-at-iitgn-dot-ac-in
- Website: www.shailjadav.github.io
- Office: 305 Research Park, IIT Gandhinagar, India
- City: Ahmedabad, India
Publications
Below are my recent publications! You may visit my Google Scholar page!
- All
- Published
- Accepted
- Under review
- Under preparation
Configuration and Force-field Aware Variable Impedance Control with Faster Re-learning
Journal of Intelligent and Robotic Systems 2023
A Model-based Feedforward and Iterative Learning Controller Exhibiting Features of Human Motor Learning
IEEE Transactions on Cognitive and Developmental Systems 2022
A Machine-Learning-Based Method to Detect Degradation of Motor Control Stability with Implications to Diagnosis of Presymptomatic Parkinson’s Disease: A Simulation Study
MDPI Applied Sciences 2023
Shared Autonomy via Variable Impedance Control and Virtual Potential Field for Encoding Human Demonstrations
IEEE International Conference on Robotics and Automation 2024
Convergence Analysis and Experimental Validation of a Trial-by-trial Learning Controller with Features of Human Motor Learning for Robotic Manipulators
IEEE Transactions on Cybernetics 2023
Variable Impedance Learning Control with Faster Re-learning and Reduced Initial Errors in Re-perturbation for Robots Operating in Divergent Force Fields
ACM Advances In Robotics 2023
Utilization of Manipulator Redundancy for Torque Reduction During Force Interaction
ASME Letters in Dynamic Systems and Control 2023
Redundancy in Planar Robotic Manipulator: A Comparison of Redundancy Configurations for Force Production Tasks
IEEE Indian Control Conference 2023
Kinematic Performance of a Customizable Single Degree-of-Freedom Gait Trainer for Cost-Effective Therapy Aimed at Neuromuscular Impairments
ASME Journal of Medical Devices 2023
A Novel Approach for Combining Feedback and Feedforward Control in DC Motor Control: A Smooth Switching Strategy for Time-Varying Systems with Noisy Feedback
