Sheffield Robotics

Sheffield Robotics Making Sheffield a regional, national, and international hub for robotics research

The 21st century can expect to see transformative social and economic change due to the impact of advanced robotic and autonomous systems. Research to develop these new technologies requires input from many disciplines from engineering—materials, electronics, mechanical systems, and control; artificial intelligence and computer science; through to the psychological, medical and physical sciences. The development of such disruptive technologies also requires a dialogue with society, facilitated by research in the social sciences, arts and humanities, that can anticipate the transformative impacts of robotics, promoting beneficial impacts whilst minimising adverse ones. To address these challenges, the University of Sheffield and Sheffield Hallam University have come together to create a new enterprise—Sheffield Robotics—that seeks to integrate robotics research within the City and across the wider region. Founded in 2011, Sheffield Robotics operates dedicated research facilities for robotics in both universities and has academic and research student members from many disciplines and departments. With partners such as the Advanced Manufacturing Research Centre, Sheffield Robotics covers a broad spectrum of research in robotics and autonomous systems, including industrial, field, and service robotics. Sheffield Robotics has one of the largest portfolios of ongoing publicly-funded robotics research in the UK, supported by both the UK Research Councils and the European Union. We are also building research partnerships with leading industrial, commercial, and government organisations in order to ensure the real-world relevance and impact of our research. As a member of the Northern Robotics Network, and of the EPSRC UK-RAS Network, Sheffield Robotics acts as a central hub for robotics research within the UK. Through our international links, we seek to play a leading role in the world robotics community, and to promote the development of ethical, useful, safe, and sustainable robotic and autonomous systems that can enhance human prosperity across the globe.

Living Machines 2025📍University of Sheffield, The Diamond📅 15-18 July 2025The development of future real-world technolog...
14/02/2025

Living Machines 2025

📍University of Sheffield, The Diamond
📅 15-18 July 2025

The development of future real-world technologies will depend strongly on our understanding and harnessing of the principles underlying
living systems and the flow of communication signals between living and artificial systems.

The conference theme also encompasses biomimetic methods for manufacture, repair, and recycling inspired by natural processes such
as reproduction, digestion, morphogenesis, and metamorphosis.

https://livingmachinesconference.eu/2025/

Robot Talk Gianmarco Pisanelli from the University of Sheffield Advanced Manufacturing Research Centre chatted to Claire...
24/01/2025

Robot Talk

Gianmarco Pisanelli from the University of Sheffield Advanced Manufacturing Research Centre chatted to Claire Asher about how to promote the safe and intuitive use of robots
in manufacturing. 🤖 🏭

Listen now: www.robottalk.org/2025/01/17/e...

Claire chatted to Gianmarco Pisanelli from the Advanced Manufacturing Research Centre about how to promote the use of robots in manufacturing.

31/12/2024
Research Associate in AI & Machine Learning Methods for Robots Inspecting Underground Sewer Systems, School of Electroni...
18/12/2024

Research Associate in AI & Machine Learning Methods for Robots Inspecting Underground Sewer Systems, School of Electronic & Electrical Engineering

You must have a PhD (or be close to completion, or with relevant, equivalent experience) in Robotics, AI areas, electrical engineering, mathematics, or a related area. The following background will be useful: machine learning, statistical signal processing, probability theory, Bayesian inference optimisation methods or equivalent experience, deep learning, computer vision, sensor data fusion methods as well as experience of developing software in Python/ MATLAB/ ROS. You will also be experienced in conducting research projects both individually and as part of a team.

You will contribute towards the creation of resilient, uncertainty-aware methods for resource-constrained robot path planning, creation of topological and semantic maps for robots to operate with scene perception under limited battery resources. Creativity is essential for developing different methods, including Bayesian methods (e.g. transfer learning), deep learning methods (e.g. Yolact) and embedding them on hardware devices as part of robot platforms. These include methods for classification and segmentation of the defects, in the process of scene perception that the sewer pipe domain imposes.

Closing date: 12.01.2025

Further information 👇

https://www.jobs.ac.uk/job/DLD408/research-associate-in-ai-and-machine-learning-methods-for-robots-inspecting-underground-sewer-systems

Public TalkProfessor Tony Prescott: The Psychology of Artificial IntelligenceWe are pleased to announce that Professor T...
16/12/2024

Public Talk
Professor Tony Prescott: The Psychology of Artificial Intelligence

We are pleased to announce that Professor Tony Prescott will be giving a talk on the themes of his recently launched book The Psychology of Artificial Intelligence.

This event will be taking place in the Diamond Lecture Theatre 02 on Thursday 23rd January 2025, please arrive at 5.15pm for a 5.30pm start.

There will be a presentation from Professor Tony Prescott and a Q&A session, then refreshments and networking in the Foyer.

Please complete this form by close of play on Tuesday 7th January to register your attendance.

Please join us on Thursday 23rd January for a talk from Professor Tony Prescott on the themes of his recently launched book The Psychology of Artificial Intelligence. Blurb: What is Artificial Intelligence? How will AI impact society? Is AI more powerful than human intelligence? The Psychology of AI...

📢Winners of the Sheffield Robotics Winter ShowcasePresentation; Best Innovation and Best Lesson Learned at the Sheffield...
13/12/2024

📢Winners of the Sheffield Robotics Winter Showcase

Presentation; Best Innovation and Best Lesson Learned at the Sheffield Robotics Winter Showcase👏

Best Presentation:
Muhammad Aitsam, Sheffield Hallam University
Title: Can Neuromorphic Computing Redefine the Future of Robotics and
Vision Systems?

Best Innovation:
Kavyan Zoughalian, Sheffield Hallam University
Title: Revolutionizing Healthcare with SAR: Secure, Private, and
Transparent Robotic Solutions

Best Lesson Learned:
David Wilkinson, Robotics and Autonomous
Manufacturing Systems Lab, University of Sheffield
Title: Time-optimal trajectory generation for precision motion control

Take a look at the presentations from the Winter Showcase
👇
https://drive.google.com/file/d/1i5VHTRG6WQQ-QWRHvp9JTXXMSdZPclJ3/view?usp=sharing

Awesome presentations by some Awesome PhD students at the UoS and SHU. Well done all👏 Winners of the Best Presentation; ...
11/12/2024

Awesome presentations by some Awesome PhD students at the UoS and SHU.

Well done all👏

Winners of the Best Presentation; Best Innovation and Best Lesson Learned will be shared online tomorrow 😀

Living Machines Conference 📅 15th - 18th July 2025📍 Sheffield, UKWe are delighted to announce that Prof Agniezska Wykows...
06/12/2024

Living Machines Conference
📅 15th - 18th July 2025
📍 Sheffield, UK

We are delighted to announce that Prof Agniezska Wykowska, Head of the Social Cognition in Human-Robot Interaction Unit at the Italian Institute of Technology, will give a plenary talk at Living Machines 2025.

https://livingmachinesconference.eu/2025/plenary-speakers/

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Pam Liversidge Building, Newcastle Street
Sheffield
S13JD

Opening Hours

Monday 9am - 5pm
Tuesday 9am - 5pm
Wednesday 9am - 5pm
Thursday 9am - 5pm
Friday 9am - 5pm

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