I have been neglecting my website lately, so here is a belated post announcing that I have accepted a position at Ghent University. I maintain my post at the University of Plymouth, if only to see running projects to a good end and to supervise the many PhD and postdoctoral researchers still there. Still, a new chapter in my academic career, with new opportunities and new challenges. The reasons for moving were many, Brexit being one of them, the others I will have to regale you when we next meet. I am joining an ambitious team of machine learning (Deep Learning of course) and unconventional robotics enthusiasts here in Ghent, and I hope to build up the research in social robotics and Human-Robot Interaction here. If you wish to visit or collaborate, by all means get in touch!
I am very excited about Dr Séverin Lemaignan joining us in a few months. Séverin will be working on his DOROTHY project, short for “Donating Robots a Theory of Mind”, for which he received funding from the Marie Skłodowska-Curie programme. As humans we take a Theory of Mind very much for granted, the skill to understand what others know, what they are thinking and what they are about to do is almost magic. It is only when someone’s ToM is impaired or completely lacking that you realise how crucial a tool it is. No longer having access to what people around you know and think about their environment and about others leaves you very much on the back foot when trying to respond appropriately in a social environment. Unfortunately, as with so many skills that seem natural to us humans, a Theory of Mind is very difficult to build for a robot. Séverin will join us from EPFL in the summer of 2015 to try and do just that: build an artificial Theory of Mind.
Update: this position has been filled. We’re welcoming Emmanuel Senft to the team from October 2014 onwards.
We are looking for a team mate!
This is the age of robots, where robots are not just found in factories picking and placing things, but will enter our daily lives: places where no robot has ever gone before. However, robots currently have limited autonomous social capabilities. For this to change, advances in artificial intelligence need to be matched up with advances in robotics.
This PhD looks into the science and technology of action selection for social humanoid robots. Given sensor input, prior knowledge and dose of social cognition, would it be possible for the robot to autonomously respond in a social manner? Currently almost all social robots need a human hand to operate well: the “Wizard of Oz” idea, where a human operator takes over when the robot is stuck. What is needed to move away from WoZ and build fully autonomous social interaction?
You will be working in the context of the DREAM project (www.dream2020.eu), a multinational European project which studies the science and tech behind the robot-enhanced therapy (RET), specifically targeted at young children with Autism Spectrum Disorders. DREAM uses a range of robots, but through its collaboration with Aldebaran the use of the Nao humanoid is central to our research.
Applicants should have (at least) a first or upper second class honours degree in an appropriate subject and preferably a relevant MSc or MRes qualification. We encourage applicants with a background in computer science, artificial intelligence, robotics and/or cognition science.
We expect candidates to be confident programmers (C++ experience recommended): you will spend a considerable amount of time programming and hacking robots and their artificial intelligence, which is not for the fainthearted. A keen interest in science and discovery is a prerequisite, as is not being afraid of international travel to meetings and events.
If you wish to have an informal chat, please contact Tony Belpaeme (email@example.com) or contact any of the mad people in the lab. However, applications must be made via the official application site.
More details on funding and the application process can be found at FindAPhD. Applications close at noon on Monday, 28 July 28 2014. Quick!
Together with Andrea Thomaz (Georgia Tech) we chair the Programme Committee of the 2014 edition of IEEE/ACM Human-Robot Interaction (HRI2014) in Bielefeld, Germany. This year’s edition focuses on (E)merging perspectives. HRI is a cross-disciplinary endeavour, marrying state-of-the-art AI and robotics with real-world applications in noisy and unstructured social environments. It is one of the final frontiers in robotics: after having planted robots on the moon and on Mars, and after having robot explore the deep seas, the field of HRI pushes to have robots closely interact with people. However, social HRI is as yet an unsolved scientific and technical challenge. ∞