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Robot Talk Episode 33 – Interview with Dan Stoyanov
Claire chatted to Professor Dan Stoyanov from University College London all about robotic vision, surgical robotics, and artificial intelligence.
Dan Stoyanov, FREng, FIET, is a Professor at UCL Computer Science holding a Royal Academy of Engineering Chair in Emerging Technologies. He is Director of the Wellcome/EPSRC Centre for Interventional and Surgical Sciences (WEISS), a large research centre combining engineering and clinical expertise. His research interests are focused on surgical robotics, surgical data science and the development of surgical AI systems for clinical use. He is Chief Scientist at Digital Surgery, and he co-founded Odin Vision Ltd as a UCL spin-out focused on AI in gastroenterology.
EPSRC UK-RAS Network
brings together the UK’s core academic capabilities in robotics innovation under national coordination and encourages academic and industry collaboration to accelerate the development and adoption of RAS.
EPSRC UK-RAS Network
brings together the UK’s core academic capabilities in robotics innovation under national coordination and encourages academic and industry collaboration to accelerate the development and adoption of RAS.
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Robot Talk Episode 97 – Pratap Tokekar
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Robot Talk Episode 96 – Maria Elena Giannaccini
In the latest episode of the Robot Talk podcast, Claire chatted to Maria Elena Giannaccini from the University of Aberdeen about soft and bioinspired robotics for healthcare and beyond.
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Robot Talk Episode 95 – Jonathan Walker
In the latest episode of the Robot Talk podcast, Claire chatted to Jonathan Walker from Innovate UK about translating robotics research into the commercial sector.
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Robot Talk Episode 94 – Esyin Chew
In the latest episode of the Robot Talk podcast, Claire chatted to Esyin Chew from Cardiff Metropolitan University about service and social humanoid robots in healthcare and education.
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Robot Talk Episode 93 – Matt Beane
In the latest episode of the Robot Talk podcast, Claire chatted to Matt Beane from the University of California, Santa Barbara about how humans can learn to work with intelligent machines.
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