Episode 168 – Advancing robotics with novel electronics
Claire chatted to Zlatka Stoeva from DZP Technologies about flexible, stretchable and soft printed electronics for dexterous robots.
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Episode 169 – Dexter Shepherd Claire Asher
- fast_forward 00:00:30 – Intro – Welcome
- fast_forward 00:02:49 – Dexter Shepherd – Touch sensing and robot movement
- fast_forward 00:15:49 – Dexter Shepherd – Machine learning for robot senses
- fast_forward 00:32:09 – Outro – Thanks for listening
Claire chatted to Dexter Shepherd from the University of Sussex about using artificial intelligence to help robots understand and adapt to their environment.
Dexter Shepherd is a Postdoctoral Researcher at the University of Sussex, exploring machine learning for bio-inspired tactile sensing and robotic locomotion. His work combines embedded AI systems, spatial-temporal models, and reinforcement learning to enable robots to classify textures, orient themselves, and adapt their movements. Beyond his research, Dexter leads and coordinates AI training initiatives in Africa with making electronics and applying AI on embedded devices.
Help shape the future of robotics. Join the IEEE Robotics and Automation Society – with over 26,000 members worldwide and around 78 conferences and workshops. Learn more at ieee-ras.org.
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