Nikhil Shinde
(Co-Advised with Michael Yip)
Email: nshinde (at) ucsd.edu
Nikhil Shinde is a Ph.D. student in Electrical and Computer Engineering at UCSD. Nikhil's research direction is motivated by his interests in the field of automation and surgical robotics. He is interested in reinforcement learning and adapting already learned techniques to new data as it presents itself online. In particular his current research focuses on safely reasoning to interact with complex, deformable and interconnected environments online. Nikhil is a recipient of the National Defense Science and Engineering Graduate (NDSEG) Fellowship.
Before joining UCSD, Nikhil received his bachelor's degree in Electrical Engineering and Computer Science from UC Berkeley. While there, his research interests revolved around learned wireless communication systems.
In his free time Nikhil enjoys hiking, backpacking, mountaineering, camping and all things outdoors.
Related Papers
Shinde, Nikhil U., et al. “JIGGLE: An Active Sensing Framework for Boundary Parameters Estimation in Deformable Surgical Environments.” Robotics: Science and Systems (RSS). 2024.
Shinde, Nikhil U., et al. “SURESTEP: An Uncertainty-Aware Trajectory Optimization Framework to Enhance Visual Tool Tracking for Robust Surgical Automation.” under review
Shinde, Nikhil U., et al. "Object-Centric Representations for Interactive Online Learning with Non-Parametric Methods." 2023 IEEE 19th International Conference on Automation Science and Engineering (CASE). IEEE, 2023.
Peiros, Elizabeth, et al. "Finding biomechanically safe trajectories for robot manipulation of the human body in a search and rescue scenario." 2023 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). IEEE, 2023.