Robohub.org
DeepMind’s AI has learned to navigate the Tube using memory | New Scientist
DeepMind’s latest AI has a “working memory” so that it can learn how to solve tasks for itself – such as how best to get from A to B on the London tube network.
Click here to read the full article
Alex Kirkpatrick
is a passionate writer and science communicator...
Alex Kirkpatrick
is a passionate writer and science communicator...
Related posts :
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.
Why companies don’t share AV crash data – and how they could
Cornell University
01 Dec 2025
Researchers have created a roadmap outlining the barriers and opportunities to encourage AV companies to share the data to make AVs safer.
Robot Talk Episode 135 – Robot anatomy and design, with Chapa Sirithunge
Robot Talk
28 Nov 2025
In the latest episode of the Robot Talk podcast, Claire chatted to Chapa Sirithunge from University of Cambridge about what robots can teach us about human anatomy, and vice versa.
Learning robust controllers that work across many partially observable environments
Maris Galesloot
27 Nov 2025
Exploring designing controllers that perform reliably even when the environment may not be precisely known.
Human-robot interaction design retreat
Lucy Smith
25 Nov 2025
Find out more about an event exploring design for human-robot interaction.
Robot Talk Episode 134 – Robotics as a hobby, with Kevin McAleer
Robot Talk
21 Nov 2025
In the latest episode of the Robot Talk podcast, Claire chatted to Kevin McAleer from kevsrobots about how to get started building robots at home.
ACM SIGAI Autonomous Agents Award 2026 open for nominations
ACM SIGAI
19 Nov 2025
Nominations are solicited for the 2026 ACM SIGAI Autonomous Agents Research Award.
Generations in Dialogue: Multi-agent systems and human-AI interaction with Professor Manuela Veloso
Listen to the first episode of the new podcast from AAAI.
