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Introducing RoboPatient – a soft robotics approach to training doctors

An article published today by the University of Cambridge describes part of my work in using AI and Robotics in the medical field . Cambridge researchers are helping to design healthcare robotics of the future by investigating a robot-assisted approach to training doctors in medical examinations. To read the full article follow this link. We …

Transition…

Little over 6 months ago I was defending my Doctoral Thesis in Robotics and AI at the University of Cambridge. I am extremely grateful to have had the opportunity to research in this marvellous place, where time seems to have stopped since its foundation. Today I move on from my current position as a Postdoctoral …

Introducing RoboPatient – a soft robotics approach to training doctors

An article published today by the University of Cambridge describes part of my work in using AI and Robotics in the medical field . Cambridge researchers are helping to design healthcare robotics of the future by investigating a robot-assisted approach to training doctors in medical examinations. To read the full article follow this link.

Gaussian process inference modelling of dynamic robot control for expressive piano playing

A robot that can autonomously learn to play piano by mimicking the dynamics of different human playing styles. Our most recent publication, in collaboration with Cheryn Ng, in the international journal PlosONE titled “Gaussian Process inference modelling of dynamic robot control for expressive piano playing”. In the paper we propose a Gaussian Process-based mathematical framework for …

Structuring of tactile sensory information for category formation in robotics palpation

Robotics and Medicine: one of our most recent publications in the journal “Autonomous Robots”, exploiting the application of machine learning and tactile sensing to aid in the autonomous detection of abnormal lumps in soft bodies. In collaboration with Perla Maiolino and Fumiya Iida. Full paper: https://lnkd.in/dcaaW2cVideos: https://lnkd.in/duz-jfZ

Efficient Bayesian Exploration for Soft Morphology-Action Co-optimization

One of our most recent articles, “Efficient Bayesian Exploration for Soft Morphology-Action Co-optimization” with Perla Maiolino and Fumiya Iida, proposing a mathematical framework to perform the active exploration of robot control and morphology to aid in discrimination tasks. The full paper: https://lnkd.in/d8VGyYz Code & data: https://lnkd.in/dzHnbeF Presentation

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