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Dr Roderich Gross
Applications accepted all year round
Self-Funded PhD Students Only
Sheffield
United Kingdom
Applied Mathematics
Biomedical Engineering
Data Analysis
Electrical Engineering
Manufacturing Engineering
Mechanical Engineering
Neuroscience
Computer Science
Information Services
Software Engineering
About the Project
Self-assembly processes are responsible for the generation of order in nature. They involve components at different scales, such as molecules, cells, and organisms. Scientists across many disciplines believe that the study of physical models of self-assembly can help in understanding nature and in advancing technology.
This project addresses the design and study of novel robots that are composed of centimetre-sized robotic units. The units could be self-propelled or externally propelled [1-4]. They could physically bind with each other, and disconnect at will. By self-assembly, they could produce modular entities of various shapes and functions on the fly. In the long run, this could lead to a new generation of adaptive hardware (transformable matter [1], devices, robots/vehicles, buildings etc). The project could focus on algorithmic/theoretical advances, practical implementations, or both.
The applicant would join a vibrant group with excellent facilities (http://naturalrobotics.group.shef.ac.uk).
This project addresses the design and study of novel robots that are composed of centimetre-sized robotic units. The units could be self-propelled or externally propelled [1-4]. They could physically bind with each other, and disconnect at will. By self-assembly, they could produce modular entities of various shapes and functions on the fly. In the long run, this could lead to a new generation of adaptive hardware (transformable matter [1], devices, robots/vehicles, buildings etc). The project could focus on algorithmic/theoretical advances, practical implementations, or both.
The applicant would join a vibrant group with excellent facilities (http://naturalrobotics.group.shef.ac.uk).
Funding Notes
Prospective candidates should have a strong background in computer science, engineering (e.g. mechatronics), applied mathematics, physics or another related discipline. We require applicants to have either an undergraduate honours degree (1st) or MSc (Merit or Distinction) from a reputable institution.
Applicants can apply for a Scholarship from the University of Sheffield but should note that competition for these Scholarships is highly competitive: https://www.sheffield.ac.uk/postgraduate/phd/scholarships
Applicants can apply for a Scholarship from the University of Sheffield but should note that competition for these Scholarships is highly competitive: https://www.sheffield.ac.uk/postgraduate/phd/scholarships
References
[1] http://www.youtube.com/watch?v=bcaqzOUv2Ao
[2] https://www.youtube.com/watch?v=-lmo4dyUjxg
[3] https://www.youtube.com/watch?v=RgGi_mc4tOQ
[4] http://www.youtube.com/watch?v=CJOubyiITsE&feature=related
Full details of how to apply can be found at the following link: https://www.sheffield.ac.uk/acse/research-degrees/applyphd
[2] https://www.youtube.com/watch?v=-lmo4dyUjxg
[3] https://www.youtube.com/watch?v=RgGi_mc4tOQ
[4] http://www.youtube.com/watch?v=CJOubyiITsE&feature=related
Full details of how to apply can be found at the following link: https://www.sheffield.ac.uk/acse/research-degrees/applyphd
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