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, introduces human error, and creates line-of-sight occlusions, disrupting surgical workflow. This interdisciplinary project aims to overcome these challenges by developing a vision-based marker-less navigation
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deep inside confined spaces, such as pipes and vessels. Kinematics, static and dynamic models of the snake robot. Localisation of the snake robot with various sensory feedback, including vision and Fibre
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Engineering, Computer Science or related disciplines. Experience in autonomous system, manufacturing/robotics and machine vision development will be an advantage. To apply please contact the supervisor, Dr Kun
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A continual learning approach for robust robotic control in electric batteries assembly. This project is an exciting opportunity to undertake industrially linked research in partnership with
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combination of academic and industrial challenges which will enhance the student’s ability to tackle complex intellectual and practical aspects of computer vision and robotics. We are seeking talented
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-effectors and the host robot. Smart sensing systems to support automated manufacturing and maintenance, repair & overhaul. We refer here not only to conventional sensing, e.g. vision, orientation
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underlying material perception: our ability to determine how materials will feel to touch, just from seeing them. Understanding this process has practical consequences for improving tactile sensing, robotics