PhD Studentship in Planning, control & learning for intelligent robotic manipulation University of Leeds, Department of Computing
|
Session 2017/18 Scholarship Name: Planning, control & learning for intelligent robotic manipulation Name of School Contact: Dr Mehmet Dogar +44 (0) 113 343 5777
Number available: 1 Fees: £4250 Home/EU or £18500 International
Further Information: You will develop intelligent robotic algorithms & systems for object manipulation tasks. Tasks include a robot reaching into a cluttered shelf to grasp objects (Amazon Picking Challenge) & a robot using tools to cut and drill objects (Darpa Robotics Challenge). You will conduct research in this exciting area, hugely important for intelligent technologies of the future, working with Dr Mehmet Dogar, who recently moved from MIT to Leeds. Particular topics include:
You will be working in labs equipped with state-of-the-art, robotic equipment (including UR-5 arm on Ridgeback omni-directional base, bimanual Baxter robot, multiple Robotiq robot hands with force/torque sensing, and OptiTrack motion tracking). University of Leeds recently made a $6.5M investment in Robotics Research Centre (http://robotics.leeds.ac.uk/) that our lab is affiliated with. There will be opportunities for external collaboration, particularly with MIT & Carnegie Mellon University (CMU), which our group has strong ties with. This project will build on Dr Mehmet Dogar’s previous work carried out at CMU & MIT, focusing on physics-based object manipulationand intelligent robotic assembly. Students from Computer Science, Mechanical, Electrical, Control or Aerospace Engineering, Mathematics & other related fields are welcome to apply. We welcome scholarship applications from all suitably-qualified candidates, but UK black & minority ethnic (BME) researchers are currently under-represented in our Postgraduate Research community. We would therefore particularly encourage applications from UK BME candidates. All scholarships will be awarded on the basis of merit. Financial Information: Funded for 3.5 years and covers the cost of fees and provides a maintenance of £14,926 for the 2016/17 academic year. For PhD study, fees may rise during the course of your candidature - this will be by no more than the rate of inflation, calculated according to the Retail Price Index. Maintenance rates (set annually at Research Council standard rates) may also rise. Further information can be found at: http://www.rcuk.ac.uk/media/news/160125/ School Web Address: https://engineering.leeds.ac.uk/info/201323/research_degrees Minimum Academic Requirements (if English is not your first language, then candidates must also meet the University’s English language requirements): Hold or expecting UK 1st Class or Upper 2nd Class Honours Degree (2:1), and/or a Master's degree in a relevant computer science, engineering or science degree. Any Additional Requirements: This information has been provided by the above School and all enquiries regarding these awards must be made in the first instance to the contact detailed above. You may apply online for research degree study at: http://www.leeds.ac.uk/info/130206/applying/91/applying_for_research_degrees or a Word version may be downloaded from this page. You may apply online for taught postgraduate degree study at: http://www.leeds.ac.uk/info/20022/postgraduate_taught/81/applying_for_taught_programmes.
|
