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About

Fernando Caponetto is a rising researcher in the field of telerobotics and haptic shared autonomy, whose work addresses fundamental challenges in human-robot interaction and remote manipulation. His research focuses on developing innovative control strategies for teleoperation systems, particularly in managing the complex interplay between human operator commands and autonomous robotic assistance. Caponetto’s most impactful contribution is his work on partial orientation regulation (POR), which allows autonomous controllers to selectively regulate operator orientation commands—a critical capability for tasks where full orientation control is unnecessary or impractical. His 2023 paper on this topic has already garnered 11 citations, reflecting its timely relevance. He has also advanced workspace limit approaches using signed distance functions to smoothly map unreachable leader-side motions to follower robot workspaces (9 citations), and developed telerobotic systems capable of online switching between architectures and controllers. His exploration of incomplete orientation constraint (IOC) for trajectory tracking on curved paths further demonstrates his ability to tackle nonlinear control problems in the rotation group SO(3). With a growing citation record and a focus on practical, real-world teleoperation challenges, Caponetto is establishing himself as a key innovator in making remote robotic systems more intuitive, safe, and effective.