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About

Nitish Thatte is a robotics researcher whose work spans two compelling domains: extreme-terrain robotic locomotion and human-centered assistive robotics. He is perhaps best known for his pioneering contributions to microspine gripper technology, developed during his work with NASA's Jet Propulsion Laboratory. His most-cited paper, "Gravity-Independent Rock-Climbing Robot and a Sample Acquisition Tool with Microspine Grippers" (2013, 136 citations), introduced the world's first robot capable of free-climbing vertical, overhanging, and inverted rock surfaces — a breakthrough with profound implications for Mars exploration and navigation of microgravity bodies like asteroids and comets. Complementary work on omnidirectional microspine anchors (2012) further demonstrated the versatility of this gripping technology in space applications. Thatte's research evolved significantly toward human-in-the-loop systems, where he applied machine learning and black-box optimization to assistive devices such as lower-limb prostheses and exoskeletons. His 2017 algorithm for learning user-preferred control policies using qualitative feedback addressed a notoriously difficult challenge in personalized rehabilitation robotics. His subsequent work on robust control for transfemoral prostheses reflects a commitment to improving balance and mobility outcomes for amputees. Across both fields, Thatte demonstrates a rare ability to bridge cutting-edge robotics with real-world human and planetary exploration needs.