Currently I don't have any paid postdoc positions, but I am always looking for competitive PhD candidates.
We have scholarships and open self-funded research projects for PhD studentships.
Haptic-based teleoperation with proactive and expressive robotic manipulators:
Nottingham – A*STAR Singapore Research Attachment Programme (ARAP)
This PhD studentship will undertake an ambitious programme of work to develop intelligent teleoperation systems, where people can use robots are avatars to reach remote spaces. This project aims to study the haptic modality to explore remote spaces better and convey touch interactions and explain robotic intentions to humans who control the robots.
We are interested in developing machine learning and control methods to
allow robots to adapt individually to their human partners and create personalised interactions.
The student will be enrolled in a four year programme, and spend 2 years at University of Nottingham followed by 2 years at
A*STAR Research Institute under the joint supervision of Dr Ayse Kucukyilmaz (http://www.cs.nott.ac.uk/~pszak1) and Dr Yan Wu (https://yan-wu.com).
Learning, user modelling and assistive shared control to support wheelchair users
This PhD project will develop on the Nottingham Robotic Mobility Assistant, NoRMA
(https://github.com/HCRLabRepo/NoRMA) to study triadic
learning methodologies for developing effective assistance policies for wheelchair users to support their day to day activities.
Long term autonomy and mobile inspection of extreme environments with a quadruped robot
This PhD project will be in collaboration with RACE and aims to develop incremental learning methodologies to develop context-based policies, not only for navigation, but error recovery in long term automation. Human-in-the-loop and teleoperated control methods will be used as the backbone strategy to ensure increasing levels of autonomy during inspection. We will look at human-robot interaction methodologies for efficient management and optimisation of parallel tasks encountered in day-to-day operation of the Boston Dynamics Spot mobile inspection robot.
Exploring Bilateral Trustworthiness in Human-Robot Collaborative Work
This PhD studentship will investigate trust from a theory of min point of view to model a
robot’s trustworthiness from the perspective of a human, and vice versa.
Lifelong learning with robotic vacuum cleaners in social spaces
The ability to detect and recover from errors during navigation is an essential ability for an autonomous service robot that can run
for extended periods of time. In addition, functioning in human settings, these robots should be programmed to adhere to social cues
in a context-dependent manner, not only to enable safe, but also acceptable functionality.
In collaboration with Beko Plc., this PhD project will focus on
targeting multiple strands of research in perception, planning, human-in-the-loop learning, and shared control for service robots.