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A fully funded Faraday Institution studentship (PhD) in vision-guided robotics

Project Description

About the Extreme Robotics Lab

The University of Birmingham Extreme Robotics Lab, is one of the leading university robotics labs in Europe dedicated to practical applications of robotics and AI to extreme environments.

A PhD student is sought to create and contribute to the creation of knowledge by undertaking a specified range of activities within Recycling of Lithium Ion Battery (RELIB) project, using expertise in Computer Vision and/or vision-guided robotics, to work with a team to develop integrated robotic systems for practical applications, driven by major industrial and societal problems. The UoB robotics team are collectively working on robotic grasping and manipulation; planning and reasoning for fixed and/or mobile manipulators; robotic vehicles and navigation; robot dynamics and control and Computer Vision, machine learning and AI. In particular we are looking for PhD students with expertise in vision, but with a heavy emphasis on applying state-of-the-art vision methods and sensing for robotics in automotive environments:

The PhD candidate will focus on developing vision-guided robot control methods, understand the relevant recent literature, in order to plan experiments and papers.

Recycling of Lithium Ion Battery (RELIB) project

The ReLiB team at Extreme Robotics Lab will tackle the most demanding technical challenges in sensing and robotic sorting. The ReLiB project will have a significant impact on the safety, economics and efficiency of battery recycling whilst minimizing the environmental impact of these processes.

The aim of this project is to implement the robotics techniques to remove the battery pack lid and to present individual modules to the sensor array and disassemble at cell level. Robots should connect packs, modules, cells to electrical testing machinery at various stages. The research activities of this PhD will be focused on developing the robotic manipulation techniques for disassembling the battery cells and implementing these techniques to the real industrial environments. The industrial infrastructure is prepared and the candidate will test his developed techniques to remove and disassemble the battery modules in this environment. The successful applicant will work closely with roboticists and vision researchers at Extreme Robotics Lab. The applicant should develop vision guided robotic manipulation techniques with advanced force-feedback control to unbolt, cut, grasp and manipulate the battery modules.

Main Duties

The responsibilities may include some but not all the responsibilities outlined below:

• To use expertise in Computer Vision and/or vision-guided robotics, to develop integrated robotic systems for disassembly applications, driven by automotive industry.
• Within the project scope of RELIB project, generate novel ideas that progress beyond the current state-of-the-art in computer vision, AI/machine learning, and vision-based robot control.
• Develop new methods for combining these ideas with, and/or adding new directions to, the UoB robotics and vision and robotics research portfolio.
• To understand the project scope, and appreciate the practical industrial applications which motivate our robotics, vision and AI research.
• While having expertise in Computer Vision, be also willing and able to collaborate with robotic manipulation experts, to help develop integrated vision-guided robot control methods.
• Independently understand the relevant recent literature, in order to plan experiments and papers.
• Plan experiments and gather the data needed to publish ideas in leading international journals and conference proceedings.
• Write up work as papers, of sufficient quality to be published in leading international journals and conference proceedings.
• To take personal responsibility for ensuring that outlined parts of project deliverables are completed.

Knowledge, Skills, Qualifications and Experience Required

• 1st class degree in robotics, AI, machine learning, control engineering, mechanical engineering or a relevant discipline, at Masters level, or an equivalent overseas degree
• English language requirement:
• Demonstrable knowledge of mathematics and algorithms for computer vision and relevant machine learning methods.
• Demonstrated expertise and experience in 3D vision, i.e. working with point-cloud data and devices, is especially desirable.
• Strong programming skills, including extensive knowledge and experience in C++. Matlab, Python, JAVA also desirable.
• Ability to use OpenCV, VISP, PCL and other relevant open-source vision software libraries. ROS experience may also be useful, but ability to combine vision libraries with our lab’s bespoke C++ robot control software library is also important.

To apply:

Send you CV and cover letter summarising your research interests and suitability for the position to Dr Alireza Rastegarpanah: []

Start Date: Starting as early as possible

Funding Notes

Funding is awarded on competitive basis, is available to worldwide students and it will cover tuition fees and living stipend.

How good is research at University of Birmingham in Electrical and Electronic Engineering, Metallurgy and Materials?
Metallurgy and Materials

FTE Category A staff submitted: 29.10

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

Click here to see the results for all UK universities

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