Research Fellow in Robotic Manipulation

University of Leeds

Leeds, United Kingdom

Job posting number: #7085580 (Ref:EPSCP1063)

Posted: September 17, 2021

Job Description

Are you a researcher interested in developing robots that can reason about the physics of the world, i.e. how objects move when a robot interacts with them? Do you have an established background in robotic manipulation? Do you want to gain experience in one of the most important technologies of the future: robotic picking and packing systems in warehouses?

In this project, you will develop planning and control algorithms for robotic manipulators. These algorithms will reason about the physics of mixed multi-object systems (e.g. a mix of items in an online delivery box). You will investigate methods to efficiently predict/simulate the physics of such multi-object systems. You will integrate robotic arms, grippers, suction cups, visual, force, and tactile sensors into a complete system that can use such physics-based predictions to perform real-world picking and packing operations. 

You will be a leading researcher in Dr Mehmet Dogar’s group focusing on physics-based robotic manipulation (you can see a recent talk by Dr Dogar explaining his research interests related to this project here. You will collaborate with our academic partners (including ETH Zurich, UC Berkeley, TU Hamburg, German Aerospace Agency, Bristol University) to develop the algorithms and systems, and you will test the developed approaches in real warehouse settings (our industrial partners include Amazon Robotics and Advanced Supply Chain Group).

To explore the post further or for any queries you may have, please contact:

Mehmet Dogar, Associate Professor

Email: M.R.Dogar@leeds.ac.uk 

Location:  Leeds - Main Campus
Faculty/Service:  Faculty of Engineering & Physical Sciences
School/Institute:  School of Computing
Category:  Research
Grade:  Grade 7
Salary:  £33,797 to £40,322 p.a.
Due to funding restrictions, an appointment will not be made higher than £36,914 p.a.
Working Time:  37.5 hours per week
Post Type:  Full Time
Contract Type:  Fixed Term (3 years (grant funding))
Release Date:  Friday 17 September 2021
Closing Date:  Sunday 10 October 2021
Interview Date:  To be confirmed
Reference:  EPSCP1063

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