Funded UCL CASE PhD Studentship - Autonomous Robotic Collective Construction
AML-UCL is delighted to announce a new studentship opportunity investigating novel frameworks that support on-site robot assembly involving the collective manipulation and placement of material.
The construction industry is poised for widespread adoption of robotic technologies. For both on-site and off-site construction, techniques that uses a team of autonomous mobile robots to collectively work together offer substantial benefits e.g. e.g. increased productivity, building lifespan, safety etc. that have yet to be verified beyond computer simulations. Further, the challenges represented by application in outdoor environments introduce many unknowns that need to be resolved due to the dynamic nature of the tasks and surrounding context. By combining automation with high performance computing and enhanced intelligence, we aim to investigate adaptive construction processes that can produce light-weight and structurally efficient assemblages.
For further questions contact Vijay M. Pawar (v.pawar (at) ucl.ac.uk) or Robert Stuart-Smith - (r.stuart-smith (at) ucl.ac.uk)
Please be aware this funding is only available to UK/EU candidates who have (a) settled status in the UK, with no restrictions on how long they can stay and (b) been 'ordinarily resident' in the UK for 3 years prior to the start of the studentship (for education purposes is fine). For more information: http://www.epsrc.ac.uk/skills/studentships/help/eligibility/
The successful applicant will possess a strong bachelor’s degree (1st or 2:1) or Master's degree in Computer Science or a related discipline. Candidates will ideally have some relevant previous research experience, including working and designing robotic devices, and should have excellent communication and presentation skills.
The PhD studentship is co-supervised by Dr Vijay M. Pawar and Robert Stuart-Smith. The research themes include:
1) Combination of in-situ dynamic material forming with deposition
2) Multi-agent construction systems
3) Real-time adaption to dynamic events including both from the environment and other mobile based construction systems
4) Mobile construction systems capable of multi-agent control and manipulation
5) Centralised versus decentralised control / against scale of construction
6) Learning and real-time adaption through in-situ, on-the-fly construction
Start Date: before December 2018
Applications should submit their applications through the online UCL Select system.
For more information goto: http://www.cs.ucl.ac.uk/prospective_students/phd_programme/applying/
1. A personal statement and research proposal describing the preferred research question, a summary of some relevant literature, and an outline of the type of research to be conducted (including ideas about which methods would be appropriate).
2. Examples of academic writing and outputs from past work (e.g. a dissertation or assignment)
3. Academic transcripts
4. A CV
Questions about the studentship can be made to the individual academics listed with each project. Queries about the application process can be made to Sarah Turnbull: firstname.lastname@example.org