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About

Gabriel Quere is a robotics researcher whose work sits at the intersection of assistive robotics, shared control, and human-robot interaction. His research is primarily focused on developing intelligent robotic systems that restore autonomy and quality of life for people with motor disabilities and neuromuscular diseases — a challenge that grows increasingly urgent as populations age worldwide. Quere's most influential contribution is the Shared Control Templates (SCT) framework, introduced in a 2020 paper that has garnered 54 citations, which provides lightweight yet powerful mechanisms for guiding robotic manipulators using low-bandwidth control interfaces suited to users with impairments. This work was complemented by EDAN, an EMG-controlled robotic assistant (46 citations) that translates residual muscle signals into meaningful daily-living assistance. His research progressively extended these ideas toward seamless transitions between shared control and supervised autonomy (21 citations), variable autonomy planning frameworks, and probabilistic methods for adapting control to individual users in real time. Beyond assistive robotics, Quere has contributed to haptic telemanipulation and compliant robot behavior in active environments, broadening the applicability of his methods to domains including space teleoperation. Collectively accumulating over 230 citations, his body of work represents a cohesive and impactful effort to make capable robotic assistance genuinely accessible to those who need it most.