Training robots to execute tasks in the real world requires data — the more, the better. The problem is that creating these datasets takes a lot of time and effort, and methods don’t scale well.
New work has enabled robots to learn household chores by watching videos of people performing everyday tasks in their homes. Vision-Robotics Bridge, or VRB for short, uses the concept of affordances ...
A wheeled robot set loose on a college campus has figured out how to open all kinds of doors and drawers while rolling around in the real world. The robot adapted to new challenges on its own – paving ...
A team from Carnegie Mellon University’s Robotics Institute used affordances to teach robots how to interact with objects. (Carnegie Mellon University via Courthouse News). (CN) — A white mechanical ...
New work from Carnegie Mellon University has enabled robots to learn household chores by watching videos of people performing everyday tasks in their homes. The research could help improve the utility ...
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