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About

Josep Tornero is a robotics and automation researcher whose work spans teleoperation, human-robot interaction, mobile robotics, and sensor fusion. Based at the Universitat Politècnica de València, Tornero has made significant contributions to advancing robotic systems for complex industrial applications, particularly surface treatment operations such as sanding, polishing, and deburring — tasks traditionally requiring skilled human workers. His most impactful work centers on teleoperation systems enriched with haptic feedback and augmented reality, enabling human operators to guide industrial robots through intricate contact-driven tasks with greater precision and safety. His 2021 paper on augmented virtuality-based teleoperation has garnered 107 citations, while related work on dual-arm robot teleoperation and augmented reality interfaces has collectively attracted over 200 citations. Complementing these efforts, his research on adaptive sliding mode and admittance control provides the underlying force-control frameworks that make physical human-robot interaction robust and reliable. Beyond industrial manipulation, Tornero has contributed foundational work in multi-sensor fusion combining vision and inertial data for robot navigation, spherical object representation for collision detection, and kinematic control of wheeled mobile robots. His clothoid path approximation technique further demonstrates breadth across motion planning. With over 500 cumulative citations, Tornero's research portfolio offers students a rich roadmap connecting perception, control, and human-centered robotics.