Dexter is a PhD student within the be.ai doctoral training program at the University of Sussex. His area of research entails machine learning approaches using bio-inspired tactile feedback sensing for motor control and locomotion in robotics. His background is in Computer science and artificial intelligence. He works with both hardware and software with biology as the guiding the design process of the robots.
He has undertaken roles within multiple research projects such as developing evolved navigation in 3D printed robotics, developing limitation understanding on an agent for crossing the reality gap, robots for musical orchestras and Open Science education libraries for the life sciences. Within this role he has organised conferences and research talks.
Beyond these academic roles, Dexter has been responsible for the founding of STEM fair in 2022, a place that allows STEM societies to recruit members and collaborate with one another. He has been a part of societies organising research talks, a volunteer at national hackathons hosted at Sussex, and organised and taught a machine learning course in Malawi. Mentorship and outreach is something Dexter is passionate about, particularly in his role running the award winning student mentor (PAL) team for informatics.
Publications
- Versatility of low-resolution tactile sensing for edge and pose detection
- Low-resolution sensing for sim-to-real complex terrain robots
- Evolving complex terrain navigation: emergent contour following from a low-resolution sensor