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Multimodal active sensing and perception for safe autonomous vehicles


Project Description

Project for inclusion in China Scholarship Council – University of Bath programme competition

More information is available at https://www.bath.ac.uk/guides/china-scholarship-council-university-of-bath-phd-programme/

ELIGIBILITY CRITERIA:
Candidates must:

• be a citizen and permanent resident of the People’s Republic of China at the time of application. Overseas Chinese students may be eligible for application subject to CSC policy
• fulfil the relevant entry requirements of the University of Bath, including a high level of English language proficiency, and be issued with an unconditional offer letter from the University
• meet the selection criteria set out by CSC
• satisfy applicable visa requirements.

PROJECT:
Robotic active perception is a key factor to develop autonomous systems capable of safely and intelligently interact with humans and their surrounding environment. Active perception allows robots to not only make accurate decisions, but also to autonomously perform actions that will lead the robot to improve its own performance during a specific task, such as autonomous driving, wearable assistive robots and human-robot collaboration.

Even though state-of-the-art robots are equipped with multimodal sensors (e.g., vision, touch, hearing, force, gyroscopes), perception in robotics has been investigated using one sensing modality at a time. This fact, limits robots’ potential for autonomous learning, control, decision-making and actions, which also reduce the capability of robots to behave safely and intelligently.

This project, which is in the intersection of robotics and machine learning, is focused on the design and development of novel and robust computational methods for active perception using multimodal data from vision, touch, force and inertial measurement sensors simultaneously. The methods developed during this project will be implemented and tested in the ROSbot mobile robot, and with the racing car developed by the Team Bath Racing Electric (TBRe). Other potential applications for the methods developed in this project are in human-robot interaction and collaboration, manufacturing, autonomous flying, telecontrol and telepresence, assistive robots and wearable robots for physical assistance.

The research to be undertaken in this project has a strong multidisciplinary nature. The student is expected to collaborate with project partners from areas of electronic and electrical engineering, mechanical engineering, computer science, psychology and industrial partners. Furthermore, the student is expected to attend multiple events such as conferences, project meetings, summer schools and workshops.

CANDIDATE:
Applicants should hold an undergraduate Masters first class degree or MSc distinction (or non-UK equivalent) in Robotics, Computer Science, Electronics, Mechanics, Mathematics, Physics or a similar discipline. English language entry requirements must be met at the time of application to be considered for funding, see http://www.bath.ac.uk/study/pg/apply/english-language/index.html

APPLICATIONS:
Formal applications should be made BEFORE 12 January 2020, via the University of Bath’s online application form for a PhD in Electronic & Electrical Engineering.

Application form: https://samis.bath.ac.uk/urd/sits.urd/run/siw_ipp_lgn.login?process=siw_ipp_app&code1=RDUEE-FP01&code2=0014

Please state clearly on the application form that you wish to apply for a CSC-Bath scholarship and list the project title and the proposed lead supervisor. Please follow our guidance on how to apply https://www.bath.ac.uk/guides/how-to-apply-for-doctoral-study/

Candidates who secure unconditional offers by 26 February 2020 will be considered by the University for nomination to the CSC in Spring 2020.

Anticipated start date: 28 September 2020

Funding Notes

Successful applicants will receive scholarships which will include funding for travel between China and the UK, a stipend to cover living costs and international tuition fees. The duration of each scholarship will be up to 48 months.

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

FTE Category A staff submitted: 20.50

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

Click here to see the results for all UK universities

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