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PhD in Planning and Control for Intelligent Multi-Robot Systems


   Department of Computer Science

   Applications accepted all year round  Self-Funded PhD Students Only

About the Project

The UCL Department of Computer Science is a global leader in experimental computer science research. The Research Excellence Framework (REF), which assesses the quality of research in UK higher education institutes, ranked us top in its most recent evaluation, with 96% of our research as internationally excellent and 61% found to be world-leading. Our approach emphasises methodological rigour and reducibility, determining our strategy and underpinning our research education.

Swarm robotics deals with the design, construction, and deployment of large groups of intelligent robots (e.g., vehicles, drones, etc.) that cooperatively achieve a common objective. When properly designed, a multi-robot system connected by a communication network can offer flexibility, reconfigurability, robustness to faults, and cost-effectiveness over a single sophisticated robot in solving complex and challenging tasks. The primary objective of this PhD project is to develop advanced path planning and control strategies based on machine learning, game theory and cooperative control techniques. The proposed results will be validated by mobile robots and unmanned aerial vehicles in dynamic environments.

Start Date: As soon as possible, no later than November 2023. 

Closing Date: None (the position will remain open until a suitable candidate is found).

Person specification: The candidate should meet the entry requirements detailed here: https://www.ucl.ac.uk/prospective-students/graduate/research-degrees/computer-science-4-year-programme-mphil-phd for PhD programmes at UCL CS. The candidate should have (or close to obtaining) a Master degree in Computer Science, Electrical and Electronic Engineering, or a related field, with at least an upper second-class honours degree (2:1 or equivalent qualification). They should also have strong interests and backgrounds in robotics, artificial intelligence, control systems, or mechatronics.

How to apply: In the first instance please email your CV, a cover letter explaining why you think you are a suitable candidate for the post and transcripts to Dr. Junyan Hu ()


Funding Notes

Full scholarship for Home students only. Self-funded international students are also encouraged to apply.

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