Shail Jadav

Roboticist

Shail Jadav is a Postdoctoral Researcher Fellow at the Technical University of Vienna (TU Wien), where he specializes in enhancing safe and efficient human-robot collaboration, primarily through the application of robotics & control theory. He has a keen interest in the deployment of nonlinear control across various domains, such as diverse manipulators and grasp systems. His research prominently features variable impedance control and redundancy exploitation.

Shail earned his B.E. in Biomedical Engineering in 2017 from Gujarat Technological University, engaging in undergraduate research focused on human gait analysis. He completed his Ph.D. in Mechanical Engineering in 2024 at the Indian Institute of Technology Gandhinagar, where he developed Human-Inspired Learning Controllers and Motion Planners for Robotic Manipulators. His global research experience includes positions as a visiting researcher at TU Wien, working on shared autonomy between humans and robots, and at the University of Texas at Austin, where he contributed to advancements in single-degree-of-freedom gait training devices.

Shail, a gold medalist, was honored for his innovations at the 13th convocation of IIT Gandhinagar, marking significant contributions throughout his PhD. He has secured multiple prestigious grants, such as the DST NIDHI PRAYAS grant, which facilitated the co-development of an adaptive motion controller now nearing commercialization. Furthermore, he has earned accolades including the IEEE RAS Student Travel Grant for a paper presentation in Japan, a win at the regional Boeing BUILD bootcamp for startups, the SPARC travel grant for academic collaboration at UT Austin, and the IITGN Overseas Research Fellowship for his research endeavors at TU Wien.

Shail actively contributes as a reviewer for multiple journals and conferences. He is always eager to collaborate on new projects and can be reached at [shail.jadav[at]iitgn.ac.in]. Explore his comprehensive CV here.