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About

Utkarsh Sinha’s research bridges assistive robotics and autonomous surgical systems, focusing on enhancing human-robot interaction and procedural safety. His most cited work, “Jamster: A mobile dual-arm assistive robot with Jamboxx control” (17 citations), introduces a novel mobile robot designed for mobility-disabled users, enabling manual control over tasks typically left to autonomous systems—a user-centric approach that prioritizes agency over full automation. This contribution stands out for its practical, inclusive design. In surgical robotics, Sinha advances automation through two key papers: “Modelling and control of non-linear tissue compression and heating using an LQG controller for automation in robotic surgery” (10 citations) and its companion work (4 citations). These studies develop control strategies to manage tissue compression and temperature during autonomous procedures, directly addressing safety and reliability in tele-surgery. By modeling nonlinear tissue behavior and integrating LQG controllers, Sinha’s work lays groundwork for semi-autonomous surgical platforms that reduce surgeon burden while improving patient outcomes. His research is notable for its dual focus—empowering users with disabilities through intuitive control and enhancing precision in robot-assisted surgery—demonstrating a commitment to practical, human-centered automation.