Bioinspired Sensing: Artificial Skin - Investigating and developing a bioinspired structure capable of replicating in some extent skin features
Robotic perception is crucial for robotic systems to advance and perform more and more complex tasks autonomously or semi-autonomously. Tactile sensing hardware presents many challenges and the scientific community is actively searching effective solutions to address them. Several solutions can be found in literature. Most of these solutions are focused on localized tactile sensors (e.g. finder tips) in order to enhance robot capabilities in object manipulation and dexterity. These are the most common tactile devices exploited in robotics.
This project focuses, on the other hand, on the topic of delocalized medium/large scale sensing (e.g. artificial skin). Works on this topic can also be found but solutions are still in development due to its intrinsic complexity and technical challenges. Multiple sensing strategies, large area coverage, flexibility are a few examples of characteristics which increase maintenance issues and design constraints.
This project exploits elements of several disciplines that include but not limited to:
robotics, materials science, electronics, mechanics and biology.
The PhD student will address some of those limitations by investigating and developing a bioinspired structure capable of replicating in some extent skin features. This involves a multitude of mechanoreceptors, structure, density, decentralized sensing and decentralised sensory information integration processing.
The work will focus on several core tasks and skills:
• Biology inspired design
• Design and development of proof of concepts
• Material investigation, characterization and test (e.g. soft materials)
• Decentralized modular design
• Data acquisition and processing
By its nature, this investigation favours a multidisciplinary background. However, this project provides scope and opportunity for building up a wide breadth of knowledge for students coming from any core discipline background.
Candidates are expected to have completed a Masters of Science degree (or equivalent) (First Class) in Robotics, Biomedical Engineering, Electronics, Mechanics, Mathematics, Physics or related areas. Candidates near to completion might be considered and, therefore, encouraged to apply. Any English language requirements must be met at the deadline for applications.
Informal enquiries should be directed to Dr Tareq Assaf ([Email Address Removed])
Formal applications should be made via the University of Bath’s online application form for a PhD in Electronic & Electrical Engineering. Please ensure that you state the full project title and lead supervisor name on the application form.
A full application must be submitted by the application deadline, including all supporting documents, to enable review.
More information about applying for a PhD at Bath may be found here:
Anticipated start date: 30 September 2019
Funding will cover Home/EU tuition fees, a maintenance stipend (£14,777 pa (2018/19 rate)) and a training support fee of £1,000 per annum for 3.5 years.
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