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  Robotic Grasping using Dynamic Active-Pixel Vision Sensor


   Faculty of Engineering, Computing and the Environment

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

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.

Engineering (12) Mathematics (25)
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 About the Project