Jeremy L Wyatt

Honorary Professor of Robotics and Artificial Intelligence

	 of Me


TEDx talk: old news, but available on YouTube .
Paper: A new paper on Dexterous grasping of objects from a single view is about to appear in the International Journal of Robotics Research. The link gives you the originally submitted version.
Paper: A new paper on REBA: A Refinement-Based Architecture for Knowledge Representation and Reasoning in Robotics has appeared in the Journal of Artificial Intelligence Research. This provides a complete formal system for task planning in a way that combines the advantages of default logics (here Answer Set Programming) and Bayesian reasoning (POMDPs).
Moving: I have now moved to Amazon, Berlin.
Paper: New paper on tactile exploration coming out in IJHR.
Talk: I gave the Seelye Fellowship Lecture at the University of Auckland.
Media: An interview with Radio New Zealand on AI and Robotics. Listen here.
Paper: I am proud to publish my first philosophy paper, with Mihaela Popa-Wyatt, appearing in Philosophical Studies.
Paper: Read our paper on learning to predict for manipulation, in Autonomous Robots.
Paper: Read our paper on robot task planning in AI Journal.
Paper: Read our paper on dexterous grasp learning in IJRR.
Paper: Read our paper on robot task planning with non-monotonic logic and POMDPs in IEEE TRO.
Talk: I gave a public lecture called "Robot Life: A User's Manual".


We create algorithms that enable robots to work in uncertain and unfamiliar worlds. I work on autonomous robot planning, architectures for robot intelligence, robots that learn, robot manipulation, machine vision and general machine learning. One goal of my work is to endow a robot with explicit representations of what it does and doesn't know, and of how its knowledge changes under the actions it can perform. This ability allows robots to plan in challenging worlds where they know little.

I am a member of the Intelligent Robotics Laboratory, and of CN-CR, a centre for neuroscience and robotics. In my own laboratory I am lucky enough to work with a wonderful team of about a dozen incredibly talented researchers, most of whom work on dexterous robot manipulation. Previously, I was the Project Coordinator for the FP7 funded project PacMan on robot manipulation. I also coordinated the CogX project on robots that plan and learn in the face of knowledge gaps. I worked in the project Strands on long term autonomy and spatial temporal mapping, and I was part of the projects GeRT on robot manipulation, and CoSy on Cognitive Robotics.


A locally maintained list, or my Google Scholar Profile.


For video updates on our work see my personal YouTube Channel, and the PacMan channel.


Some recent appearances in the media.

Contact Details

Email: jeremy dot l dot wyatt @ gmail dot com