Robohub.org
Robot Talk Episode 39 – Maria Bauza Villalonga
Claire chatted to Dr Maria Bauza Villalonga from DeepMind all about robot learning, transferable skills, and general AI.
Maria Bauza Villalonga is a research scientist at DeepMind. In 2022, she earned her PhD in Robotics at the Massachusetts Institute of Technology, working with Prof. Alberto Rodriguez. Her research focuses on achieving precise robotic generalization by learning probabilistic models of the world that allow robots to reuse their skills across multiple tasks with high success. Maria has received several fellowships including Facebook, NVIDIA, and LaCaixa.
EPSRC UK-RAS Network
brings together the UK’s core academic capabilities in robotics innovation under national coordination and encourages academic and industry collaboration to accelerate the development and adoption of RAS.
EPSRC UK-RAS Network
brings together the UK’s core academic capabilities in robotics innovation under national coordination and encourages academic and industry collaboration to accelerate the development and adoption of RAS.
AUAI is supported by:
Related posts :
Surviving the paper deluge: a one-year study in learning from demonstration
IEEE Robotics and Automation Society (RAS)
29 Jul 2026
With the explosion of robotics research, staying current in fields like Learning from Demonstration is a monumental challenge.
Soft robotic heart offers new way to study disease and test life-saving devices
University of New South Wales
28 Jul 2026
Researchers have developed a soft robotic model of the human heart that can mimic disease and provide a realistic environment for testing the next generation of cardiac devices.
A mini robot to simplify dental treatment
University of Basel
24 Jul 2026
Researchers have developed a miniature dental robot that could one day automatically prepare teeth for crowns.
Pressure-free growing robots for soft medical robotics
IEEE Robotics and Automation Society (RAS)
23 Jul 2026
A Q&A with the best paper award winner at RoboSoft.
Interactive world simulator for robot policy training and evaluation
Yixuan Wang
20 Jul 2026
Yixuan Wang discusses his faithful world simulator that allows robots to learn how to push, pick up, and grasp objects.
Undergrads’ weed-killing robot wins top prize
Cornell University
17 Jul 2026
Their robot can travel through a vineyard or orchard without a human operator, zapping weeds with a small amount of electricity.
A flapping robot swims and flies like a diving bird
EPFL
15 Jul 2026
An aerial-aquatic vehicle developed at EPFL and MIT could lead to a new class of devices for ocean exploration.
Wristband enables wearers to control a robotic hand with their own movements
MIT News
13 Jul 2026
By moving their hands and fingers, users can direct a robot to play the piano, shoot a basketball, or manipulate objects in a virtual environment.
