Ritish Shailly

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About

Ritish Shailly is a researcher at the intersection of human-robot interaction and haptic feedback, whose work reimagines how humans teach robots through physical touch. His primary research area centers on making robot learning transparent and intuitive by wrapping haptic displays directly around robot arms. Shailly’s key contribution is the design and validation of these wearable haptic interfaces, which communicate a robot’s internal learning state—such as confidence or uncertainty—back to a human teacher during kinesthetic guidance. This bidirectional communication loop transforms the teaching process, allowing humans to adjust their demonstrations in real time based on what the robot is actually learning. His most cited paper, “Wrapping Haptic Displays Around Robot Arms to Communicate Learning” (2023), has garnered 9 citations and lays the groundwork for more transparent physical human-robot collaboration. Shailly’s work addresses a critical gap: while prior research focused heavily on robot learning algorithms, he emphasizes the equally important role of the human teacher’s understanding. By making robot learning visible and tangible, his innovations promise to accelerate skill transfer in manufacturing, rehabilitation, and assistive robotics, where physical interaction is essential.