It’s fairly easy for people to learn from other people – we’ve been doing it for around 300,000 years – because we can observe, copy, and modify what they’re doing. It’s less easy for us to learn from ...
Sergey Levine is an assistant professor at UC Berkeley whose research is focused on the thing our parents used to make such a fuss over, whenever we made stupid mistakes or should have known to avoid ...
The vision of robots as true partners in our daily work has remained just that—a vision. While we’ve seen an explosion of humanoid and semi-humanoid designs recently, these new platforms face a ...
Engineers and computer scientists are developing AI-powered robots that look and act human. Boston Dynamics invited 60 ...
Despite decades of progress, most robots are still programmed for specific, repetitive tasks. They struggle with the unexpected and can't adapt to new situations without painstaking reprogramming. But ...
The rollout anchors the debut of the company’s three-in-one robotics education strategy alongside the all-new Futurist ...
Reinforcement learning (RL) for robotics is often associated with large GPU clusters, distributed infrastructure, and x86-based development environments. Training a humanoid robot with high-fidelity ...
A team of St. Vrain Valley high schoolers who use underwater robots to help Longmont monitor water quality are getting extra help this summer from middle school students attending a “Creative ...
As industrial robots begin learning from simulations, digital twins and even one another, automation on the factory floor is entering a new phase. Instead of relying solely on preprogrammed ...
This article is part of our exclusive IEEE Journal Watch series in partnership with IEEE Xplore. Imagine walking downtown when you hear a loud bang coming from the construction site across the ...
AI and robots need data — lots of it. Companies that have millions of users have an advantage in this data collection, because they can use the data of their customers. A well-known example is ...