Hardware Podcasts

Episode Twenty-Nine: Sina Sareh

Robot Talk · 9 Dec 2022 · 16m · Episode 29

AI in practice: one real use of AI described

What this episode covers

Sina Sareh, Academic Leader in Robotics at the Royal College of Art (RCA), discusses his lab's focus on human-centric robotics, including autonomous systems for offshore wind turbine inspection and adaptive grippers inspired by animal attachment mechanisms. He details the MINRI consortium project involving a crawler, UAV, and autonomous boat, as well as his earlier work at Imperial College London on soft robotic manipulators for surgery and additive manufacturing. Sareh explains how deep learning enables real-time decision-making for anchoring modules to handle unpredictable natural and recycling environments.

AI in practice

Where this conversation describes AI being used to build or deliver a product. Part of the AI in practice tracker.

Engineering & simulationlightweight deep learning methods

The team trained a large dataset of surface images using lightweight deep learning algorithms to enable real-time identification of suitable anchoring mechanisms for robots navigating diverse environments.

“we prepared a large set of pictures from potential surfaces in the environment. … we train this information and use some of the lighter weight, deep learning methods that can be suitable for integration to mobile aerobatic platforms.”

Speaker 2 · Hear it at 8:41

Most relevant to

early-stage companies

Topics

Mentioned

Companies
Royal College of Art, Blade Bug, Imperial College London, University of Bristol, Innovate UK
Also
MINRI

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