Alexandre Vicente

Imperial College London, University of Plymouth

Papers

Total Citations

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About

Alexandre Vicente’s research lies at the intersection of mobile robotics, human motion capture, and humanoid platforms, with a focus on enhancing robot-environment interaction and understanding human kinematics. His most cited work, “Surface classification based on vibration on omni-wheel mobile base” (2015, 35 citations), addresses a critical challenge in robotics: enabling mobile robots to navigate diverse surfaces—such as tile, carpet, or gravel—by analyzing vibrations from their omni-wheels. This contribution improves robot mobility and reduces disturbance in human spaces, offering a practical, sensor-based solution for real-world deployment. Earlier, Vicente developed a novel calibration method for kinematic body sensor networks, using a Kinect to gauge data gloves “in the wild” (2013, 5 citations), advancing the quantitative study of hand movements for applications in neurology, prosthetics, and creative industries. He also created BunnyBot (2009, 3 citations), a humanoid platform designed for research and teaching, demonstrating his commitment to accessible, educational robotics. Through these works, Vicente has made tangible strides in making robots more adaptive to their environments and in capturing human motion with greater fidelity, laying groundwork for future innovations in assistive and interactive robotics.