PhDs

’Robotic Grasping using Dynamic Active-Pixel Vision Sensor’

Kingston University Faculty of Engineering, Computing and the Environment

Dr Redha Benhadj-Djilali Applications accepted all year round Self-Funded PhD Students Only

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London United Kingdom Aerospace Engineering Automotive Engineering Data Analysis Marine Engineering Mechanical Engineering

Faculty of Engineering, Computing and the Environment, Kingston University

About the Project

The main aim of this project is to develop a dynamic vision-based grasping system which can detect, track and manipulate unknown objects during a complex manufacturing or biomedical engineering processes to achieve a stable and safe manipulation in real time. This will be a breakthrough method for real-time grasping using the dynamic active pixel camera DAVIS with less than 1-millisecond-responding mechanoreceptors. The outcomes will lead to new systems and algorithms in grasping and manipulation.

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