Student topics

Design relies on prototyping methods to help envisage future design concepts and elicit feedback from potential users. A key challenge the design of human-robot interaction (HRI) with collaborative robots is the current lack of prototyping tools, techniques, and materials. Without good prototyping tools, it is difficult to move beyond existing solutions and develop new ways of interacting with robots that make them more accessible and easier for people to use.This project will develop a robot collaboration prototyping toolkit that combines …

Study level

PhD

Faculty

Faculty of Creative Industries, Education and Social Justice

School

School of Design

Research centre(s)

Design Lab

Complex manufacturing environments characterised by high value and high product mix manufacturing processes pose challenges to Human-Robot Collaboration (HRC). Allowing people to see what robots are ‘thinking’ will allow workers to efficiently collaborate with co-located robotic partners. A tighter integration of work routines requires improved approaches to support awareness in human-robotic co-working spaces. There is a need for solutions that also let people see what the robot is intending to do so that they can also efficiently adjust their actions …

Study level

PhD

Faculty

Faculty of Creative Industries, Education and Social Justice

School

School of Design

Research centre(s)

Design Lab

Contact tasks like grinding, polishing and assembly require a robot to physically interact with both rigid and flexible objects. Current methods relying on force control have difficulty achieving consistent finishing results and lack robustness in dealing with non-linear dynamics inherent in how the material is handled. This project will take a new approach that detects and diagnoses the dynamical process through deep learning fusion of multi-sensory data, including force/tactile, visual, thermal, sound, and acoustic emission; and generate corrective process parameters …

Study level

PhD

Faculty

Faculty of Engineering

School

School of Electrical Engineering and Robotics

Programming robots to carry out desired tasks is difficult and time-consuming. This PhD project focuses on collaborative and instructional dialogue agents to help human operators program robot tasks.In this collaborative scenario, a human operator converses with an AI agent to explain the steps that are to be performed, using high-level references and abstractions that make sense to the human, as opposed to simple verbal instructions corresponding to rudimentary robot movements. The AI agent must interpret the high-level instructions and translate …

Study level

PhD

School

School of Design

Research centre(s)

Design Lab

Stable correspondence-free image-based visual servoing is a challenging and important problem.In classical image-based visual controllers, explicit feature correspondence (matching) to some desired arrangement (configuration) is required before a control input is obtained. Instead, this project will investigate variable feature correspondence and robust feature selection to simultaneously solve visual servoing problem, removing any feature tracking requirement or additional image processing.Also involving Prof Jason Ford.Example of recent past work

Study level

PhD

Faculty

Faculty of Engineering

School

School of Electrical Engineering and Robotics

Robot manipulator arms are increasingly used for logistics applications.  These typically require robots to run at the limits of their performance: motor torque and motor velocity.  Added challenges include significant payloads (if we are schlepping heavy parcels) with apriori unknown mass, the possibility of boxes detaching from the gripper under high acceleration, and fixed obstacles in the workspace.  How can we determine the limits to performance, quickly identify the payload mass, then plan the fastest path to get from A to B.

Study level

PhD

Faculty

Faculty of Engineering

School

School of Electrical Engineering and Robotics