Neuromorphic tactile interface for human-robot interaction


   Centre for Accountable, Responsible and Transparent AI

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  Dr Uriel Martinez Hernandez, Dr Karin Petrini, Dr Ali Mohammadi  No more applications being accepted  Self-Funded PhD Students Only

About the Project

The sense of touch is an essential component for the development of robotics and autonomous systems capable of interacting safely with humans and their surrounding environment. Furthermore, tactile perception is fundamental to allow robots to perform natural and intuitive social interaction as humans do.

Therefore, it is important to develop smart tactile interfaces with neuromorphic features to process sensor data in a way that mimics the mechanoreceptors and nervous system to reliably perceive the stimuli from the environment. Thus, the result from this neuromorphic tactile interface will provide better information for control of robotic systems interacting and assisting humans.

In this project, the PhD researcher will investigate, develop and validate a series of multilayer neuromorphic tactile sensors involving knowledge from disciplines including electronics, robotics, computer science, neuroscience and mechanical engineering. This neuromorphic interface will be embedded with deep learning methods for data processing and perception. The interface will be implemented and tested in robotic platforms to validate its capabilities for autonomous learning, perception and interaction with objects and humans. The neuromorphic interface will allow us to understand how touch is perceived by artificial sensors and robots, it will allow us to have a better control of robots and make autonomous systems reliable, safe and trustworthy by humans in assistive and interaction tasks. The neuromorphic tactile interface will be tested with a series of experiments including interaction with humanoids, mobile robots and robotic arms.

Candidates should have, or expect to receive, an MSc or MEng in Robotics, Electronics, Mechatronics, Computer Science, Mechanics, Mathematics, Physics, or related areas.

Informal enquiries about the project should be directed to Dr Uriel Martinez Hernandez: [Email Address Removed].

Formal applications should be accompanied by a research proposal and made via the University of Bath’s online application form. Further information about the application process can be found here.

Start date: 8 January 2024.


Biological Sciences (4) Computer Science (8) Engineering (12)

Funding Notes

We welcome applications from candidates who can source their own funding. Tuition fees for the 2023/4 academic year are £4,700 (full-time) for Home students and £26,600 (full-time) for International students. For information about eligibility for Home fee status: https://www.bath.ac.uk/guides/understanding-your-tuition-fee-status/.

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