Robohub.org
New Approach Trains Robots to Match Human Dexterity and Speed | NYTimes
Linking several powerful software techniques makes it possible for a robot to learn tasks rapidly with a relatively little training.
Adriana Hamacher
Associate Editor at Robohub and the UK's Knowledge Transfer Network and a contributor to Economist Insights
Adriana Hamacher
Associate Editor at Robohub and the UK's Knowledge Transfer Network and a contributor to Economist Insights
Related posts :
Robot Talk Episode 138 – Robots in the environment, with Stefano Mintchev
Robot Talk
19 Dec 2025
In the latest episode of the Robot Talk podcast, Claire chatted to Stefano Mintchev from ETH Zürich about robots to explore and monitor the natural environment.
Artificial tendons give muscle-powered robots a boost
MIT News
18 Dec 2025
The new design from MIT engineers could pump up many biohybrid builds.
Generations in Dialogue: Human-robot interactions and social robotics with Professor Marynel Vasquez
Catch the latest podcast in the new series from AAAI.
Robot Talk Episode 137 – Getting two-legged robots moving, with Oluwami Dosunmu-Ogunbi
Robot Talk
12 Dec 2025
In the latest episode of the Robot Talk podcast, Claire chatted to Oluwami Dosunmu-Ogunbi from Ohio Northern University about bipedal robots that can walk and even climb stairs.
Radboud chemists are working with companies and robots on the transition from oil-based to bio-based materials
Radboud University
10 Dec 2025
The search for new materials can be accelerated by using robots and AI models.
Generations in Dialogue: Embodied AI, robotics, perception, and action with Professor Roberto Martín-Martín
Catch the latest podcast in the new series from AAAI.
Robot Talk Episode 136 – Making driverless vehicles smarter, with Shimon Whiteson
Robot Talk
05 Dec 2025
In the latest episode of the Robot Talk podcast, Claire chatted to Shimon Whiteson from Waymo about machine learning for autonomous vehicles.
Teaching robot policies without new demonstrations: interview with Jiahui Zhang and Jesse Zhang
Lucy Smith
04 Dec 2025
Hear from authors of work presented at CoRL 2025.
