Tag Archives: AI

Gregory Epps to Demonstrate DogBot at Research Seminar

The Lincoln Centre for Autonomous Systems (L-CAS) and Lincoln Institute for Agri-Food Technology (LIAT) will welcome CEO of React AI, Gregory Epps, and ‘DogBot'; a quadruped robot.

Gregory will discuss the exciting new robotic platform and the research behind it as well as providing a live demonstration of DogBot.

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The seminar will be on Friday 18th May 2018, 11:00am, in AAD0W25.

Everybody is welcome to join!

DogBot is a quadruped robot built for AI research, built by AI and robotics experts with an eye on the future. It breaks free from the need for heavy, slow and rigid limbs by utilising ultra-light carbon fibre and 3D printed parts to complement powerful torque controlled motors. The robot uses real-time AI control, resulting in lifelike control and motion.
React Robotics will provide a platform for academic researchers to test their control algorithms in the real world. We are introducing the DogBot to the market at just £19,995+VAT, and we encourage you sign up to be notified when the DogBot will be available for pre-order.

New AI Research to Develop Self-Learning Robots for Nuclear Sites

Researchers have secured £1.1 million in grant funding to develop artificial intelligence systems to enable self-learning robots to be deployed in place of humans to hazardous nuclear sites.

It is estimated that up to £200 billion will be spent on the clean-up and decommissioning of nuclear waste over the next 100 years. Now, a team of computer scientists from the University of Lincoln will create machine learning algorithms to increase capabilities in several crucial areas of nuclear robotics, including waste handling, cell decommissioning and site monitoring with mobile robots.

Machine learning is an application of artificial intelligence (AI) which enables systems to collect data and use it to inform automated decision-making and make improvements based on experience without being explicitly programmed.


The Lincoln team will create algorithms for vision-guided robot grasping, manipulation and cutting, mobile robot navigation, and outdoor mapping and navigation. The aim is to build systems which can use machine learning to adapt to the unique conditions of nuclear sites, including locations contaminated by radiation.

A dedicated bimanual robot arm which will be mounted on a mobile platform is being developed. It will be operated using shared autonomy – where the machine is able to operate autonomously while still having humans as key decision makers – or via remote control. The team will also investigate the potential of augmented reality in the field of nuclear robotics.

The project, funded with £1.1 million from the UK’s Engineering and Physical Sciences Research Council (EPSRC), is being led by Professor Gerhard Neumann with coinvestigator Dr Marc Hanheide, both from the University of Lincoln’s School of Computer Science.

Professor Neumann said: “Clean-up and decommissioning of nuclear waste is one of the biggest challenges for our generation and the next, and the predicted costs are enormous: up to £200 billion over the next 100 years.

“Recent disaster situations such as Fukushima have shown the crucial importance of robotics technology for monitoring and intervention, which is missing up to date, making our work even more vital.”

The Lincoln project is part of the National Centre for Nuclear Robotics (NCNR), a multi-disciplinary EPSRC RAI (Robotics and Artificial Intelligence) Hub led by the University of Birmingham, and also involves Queen Mary University of London, the University of West England, University of Bristol, University of Edinburgh, and Lancaster University.

Through the NCNR, more than 40 postdoctoral researchers and PhD researchers form a team to develop cutting edge scientific solutions for nuclear robotics, ranging from sensor and manipulator design, computer vision, robotic grasping and manipulation, mobile robotics, intuitive user interfaces and shared autonomy.

Find out more about the School of Computer Science, University of Lincoln, UK.

Computer Science Showcase Success

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School of Computer Science students show off their final projects to industry leaders and fellow classmates in an exciting annual showcase event.

A Smart Mirror, a ‘Swords of Turing’ fighting game and chess lessons with a twist played a big part of the day-long event with undergraduate and postgraduate students in the Minerva Building, Atrium.

Senior Lecturer Bruce Hargrave said: “The event was a huge success. We had some great student projects on show throughout the day including postgraduate research, presentations and demo’s and it was great to see some local industry leaders getting involved in the day and giving advice to students too.”

Students created chatbots, games and other artefacts intended to ‘pass’ the Turing Test, under the title ‘Man or Machine? Can You Tell The Difference?’

Computer Science student Keiran Lowe said: “It’s been a really good experience and really valuable, because even though our project is in development, people who try the game have given us responses we might not have thought about. And because we have to programme each response in, we can add their responses to increase the knowledge base.

“It’s been a good event to showcase our project at, but also to test it on what people think.”

Watch Keiran’s project here:

Even Gadget Show presenter and University of Lincoln guest lecturer Jason Bradbury came along to see the projects in action. Jason helped students with ideas, encouraging projects to go further and promoting team work from start to finish.

Organiser Dr Amr Ahmed said: “This is another success and expansion over the last 4 years events. More guests and interests, better projects and demos, all made public in the Atrium for internal and external visitors.

“We are proud of our students achievements and annually organise such events to make opportunities for them to interact with employers and visitors to show their work. The panel find it more and more difficult to choose the winners at the end of the event. And they are looking forward for the next year’s event already. Some job vacancies have already been sent to us, from guests and employers.”

University Vice Chancellor, Professor Mary Stuart enjoyed the day too, adding: “What a wonderful event and so good to see all the work.

Jason Bradbury in two places at once

Who said you can’t be in two places at once?
bradburyTV presenter, tech guru for The Gadget Show and Visiting Lecturer Jason Bradbury showed us how by delivering a virtual lecture for our second year ‘Group Project’ students using new robotic communication technology.
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Using a Double Robotics system, Jason was able to have a physical presence in front of our students, even though he couldn’t be there in person.
He presented his lecture, moved around the room and discussed creative new ideas with students, all from his base in London.“It is so exciting to be living in a time when technology enables you to teach an entire lecture theatre in person, despite being hundreds of miles away. Technological advances are improving our means of communication on a daily basis,” explained Jason. “I’m delighted to be able to deliver virtual lectures at the University of Lincoln as part of what is a very exciting project for the students.”

Jason’s lecture formed part of a module for second year Computer Science students, entitled My AI Ate My Homework. He tasked the students with a challenging new project – to design and develop an Artificial Intelligence (AI) system that is capable of passing the Turing Test.

The Turing Test was created by Alan Turing OBE, who was a pioneering computer scientist and mathematician and was instrumental in many technological developments during the 1940s. His work at the Bletchley Park codebreaking centre, where he lead a group to breaking the Enigma code, played a pivotal role in cracking intercepted coded messages that enabled the Allies to defeat the Nazis in World War II.

 

The Turing Test is a test of a machine’s ability to give the perception of ‘intelligent behaviour’, or to make itself indistinguishable from a human being. Thus, the student’s project would be to create a system which would make people believe they were interacting with a person, when really they’ve been responding to an AI robot.

Bruce Hargrave, Senior Lecturer in Computer Science at the University of Lincoln, is leading the module. He said: “Turing proposed that for a machine to pass his test, a human must be unable to tell if he or she was communicating with another human or with a machine. In computer science, the interactions between humans and robots are important areas of study and it is fascinating to explore what it is that distinguishes human behaviour from that of a machine. We are inviting our students to build their own machine with the ability to do just that – appear human.”Suggestions for the type of systems that could be developed by the students include an online agony aunt, a social media communicator, a fortune teller and a fast food ordering service.

The students will submit written proposals before developing their systems, with the aim of exhibiting them in public later in the year.