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’Robotic Grasping using Dynamic Active-Pixel Vision Sensor’’

  • Full or part time
  • Application Deadline
    Applications accepted all year round
  • Self-Funded PhD Students Only
    Self-Funded PhD Students Only

Project Description

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.

Funding Notes

There is no funding for this project: applications can only be accepted from self-funded candidates



How good is research at Kingston University in General Engineering?

FTE Category A staff submitted: 14.00

Research output data provided by the Research Excellence Framework (REF)

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