Claire chatted to Jamie Palmer from Icarus Robotics about building a robotic labour force to perform routine and risky tasks in orbit.

Jamie Palmer is co-founder and CTO of Icarus Robotics. He earned a Master's in Robotics from Columbia University on a full scholarship, researching intelligent, dexterous manipulation in the ROAM lab. Jamie developed and deployed autonomous hospital robots during the pandemic and worked as a race-winning engineer for the Mercedes-AMG Petronas Formula One team.

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Claire chatted to Agata Suwala from the Manufacturing Technology Centre about leveraging robotics to make manufacturing systems more sustainable.

Agata Suwala is a Technology Manager at the Manufacturing Technology Centre, where she leads cutting-edge work in automation and robotics. With over a decade of experience in R&D, Agata specialises in developing and implementing advanced manufacturing systems—particularly for the aerospace sector—transforming complex, skill-intensive processes through automation. Her recent focus is on enabling the transition to a circular economy by leveraging automation and robotics to create sustainable, scalable technologies.

This episode is powered by the Advanced Research and Invention Agency's Robot Dexterity programme, which aims to transform robotic capabilities and unlock a step-change in human productivity.

Find out more about ARIA: https://aria.org.uk/

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Claire chatted to Samuele Vinanzi from Sheffield Hallam University about how robots can tell whether to trust or distrust people.

Samuele Vinanzi is a Senior Lecturer in Robotics and Artificial Intelligence at Sheffield Hallam University. He specializes in Cognitive Robotics: an interdisciplinary field that integrates robotics, artificial intelligence, cognitive science, and psychology to create robots that perceive, reason, and interact like humans. His research focuses on enabling social collaboration between humans and robots, particularly emotional intelligence, intention reading, and artificial trust. His recent book, "In Robots We Trust", explores trust relationships between humans and robots.

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Claire chatted to Elmira Yadollahi from Lancaster University about how children interact with and relate to robots.

Elmira Yadollahi is an Assistant Professor of Computer Science at Lancaster University. She has a joint PhD in robotics and computer science from EPFL in Switzerland and Instituto Superior Técnico in Portugal. Her research tackles explainability in robotics, as well as multimodal perception and explanation methods. Her core expertise is in child–robot interaction, with a focus on expectation management, trust, and AI literacy. She has organised workshops on Explainability in Human-Robot Interaction and the Design and Development of Robots and AI with Children.

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Claire chatted to Mark Gray from Universal Robots about their lightweight robotic arms that work alongside humans.

Mark Gray has worked in automation for the last 30 years, first involved in machine vision and robotics and finally collaborative robots or cobots. As country manager, Mark was the first person to work for Universal Robots in the UK and has carried out projects with many research institutes such as the Advanced Manufacturing Research Centre (AMRC), The Manufacturing Technology Centre (MTC), the National Robotarium, and Bristol Robotics Lab.

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Claire chatted to Razanne Abu-Aisheh from the University of Bristol about how people feel about interacting with robot swarms.

Razanne Abu-Aisheh is a Senior Research Associate in the Centre for Sociodigital Futures at the University of Bristol. Her work explores how people interact with robot swarms, with a focus on how collective robot behaviours influence human perception. In her current research, she collaborates with communities to imagine more inclusive and meaningful futures with robotics, working towards community-centred design. Her broader interests include bringing robot swarms into real-world settings and designing them with people in mind.

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Claire chatted to Amir Patel from University College London about designing robots with the agility and manoeuvrability of a cheetah.

Amir Patel is an Associate Professor of Robotics & AI in the Department of Computer Science at University College London (UCL). His research uses robotics methods—sensor fusion, computer vision, mechanical modelling, and optimal control—to understand and quantify animal locomotion, especially high-speed predators such as the cheetah, and to translate these insights into bio-inspired machines. Previously, he served on the faculty of Electrical Engineering at the University of Cape Town, where he founded and directed the African Robotics Unit (ARU).

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Claire chatted to Christine Evers from the University of Southampton about helping robots understand the world around them through sound.

Christine Evers is an Associate Professor in Computer Science and Director of the Centre for Robotics at the University of Southampton. Her research pushes the boundaries of machine listening, enabling robots to make sense of life in sound. Her current focus is embedding our understanding of the human auditory process into deep-learning audio architectures. This bio-inspired approach moves away from massive, internet-scale models toward compute-efficient and inherently interpretable systems - opening the door to a new generation of embodied auditory intelligence.

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