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Constrained Robot Skill Learning From Few Examples

PGR-P-665

Key facts

Type of research degree
PhD
Application deadline
Ongoing deadline
Project start date
Thursday 1 October 2020
Country eligibility
International (open to all nationalities, including the UK)
Funding
Funded
Source of funding
University of Leeds
Supervisors
Dr Yanlong Huang
Schools
School of Computing
Research groups/institutes
Artificial Intelligence
<h2 class="heading hide-accessible">Summary</h2>

In recent years, plenty of advanced results in the context of robot learning in unconstrained environment have been reported. However, the constrained robot skill learning, albeit its great importance, has not been studied sufficiently yet. The earliest start date for this project will be 1 October 2020.

<h2 class="heading hide-accessible">Full description</h2>

<p>The PhD project will focus on robot skill learning with various constraints arising from robots (e.g., joint/torque limits) and external environments (e.g., plane restriction in a wiping/writing task). Specifically, the state-of-the-art machine learning algorithms will be leveraged to facilitate the learning (e.g., imitation learning and reinforcement learning) of robot motor skills through few examples.</p> <p>The goal of this project aims at endowing robots with versatile skills in a user-friendly and data-efficient way, as well as allowing robots to work in highly dynamical scenarios, which demand, for example, skill generalization, contact constraints, obstacle avoidance, robot joint/torque restrictions and human-robot interaction.</p>

<h2 class="heading">How to apply</h2>

<p>Formal applications for research degree study should be made online through the&nbsp;<a href="https://eps.leeds.ac.uk/computing-research-degrees/doc/apply">University&#39;s website</a>. Please state clearly in the research information section&nbsp;that the research degree you wish to be considered for is &ldquo;Constrained Robot Skill Learning From Few Examples&rdquo;&nbsp;as well as&nbsp;<a href="https://eps.leeds.ac.uk/computing/staff/8178/dr-yanlong-huang">Dr Yanlong Huang</a>&nbsp;as your proposed supervisor.</p> <p>If English is not your first language, you must provide evidence that you meet the University&#39;s minimum English language requirements (below).</p> <p><em>We welcome applications from all suitably-qualified candidates, but UK black and minority ethnic (BME) researchers are currently under-represented in our Postgraduate Research community, and we would therefore particularly encourage applications from UK BME candidates. All scholarships will be awarded on the basis of merit.</em></p>

<h2 class="heading heading--sm">Entry requirements</h2>

Applicants to research degree programmes should normally have at least a first class or an upper second class British Bachelors Honours degree (or equivalent) in an appropriate discipline. The criteria for entry for some research degrees may be higher, for example, several faculties, also require a Masters degree. Applicants are advised to check with the relevant School prior to making an application. Applicants who are uncertain about the requirements for a particular research degree are advised to contact the School or Graduate School prior to making an application.

<h2 class="heading heading--sm">English language requirements</h2>

The minimum English language entry requirement for research postgraduate research study is an IELTS of 6.0 overall with at least 5.5 in each component (reading, writing, listening and speaking) or equivalent. The test must be dated within two years of the start date of the course in order to be valid.

<h2 class="heading">Funding on offer</h2>

<p>A highly competitive School of Computing scholarship offering Academic Fee at Home/EU Fee rate of &pound;4,600 for Session 2020/21 plus Maintenance matching the EPSRC rate of &pound;15,285 for Session 2020/21 per year for 3 years.</p>

<h2 class="heading">Contact details</h2>

<p>For further information regarding the application procedure, please contact Doctoral College Admissions:<br /> e: <a href="mailto:phd@engineering.leeds.ac.uk">phd@engineering.leeds.ac.uk</a>, t: +44 (0)113 343 5057.</p> <p>For further information regarding the project, please contact Yanlong Huang by email:&nbsp;&nbsp;<a href="mailto:Y.L.Huang@leeds.ac.uk">Y.L.Huang@leeds.ac.uk</a></p>


<h3 class="heading heading--sm">Linked research areas</h3>