Published:
Exploring how on-demand tool fabrication can regularize robot learning by transforming rare, difficult tasks into familiar interactionsâreducing the combinatorial complexity of open-world robotics.
Published:
Exploring how on-demand tool fabrication can regularize robot learning by transforming rare, difficult tasks into familiar interactionsâreducing the combinatorial complexity of open-world robotics.
Published:
What if instead of billion-dollar autonomous driving approaches, we could kickstart robotics data collection with cheap, cute collectible robots that consumers actually want to interact with?
Published:
What if instead of billion-dollar autonomous driving approaches, we could kickstart robotics data collection with cheap, cute collectible robots that consumers actually want to interact with?
Published:
What if instead of billion-dollar autonomous driving approaches, we could kickstart robotics data collection with cheap, cute collectible robots that consumers actually want to interact with?
Published:
Exploring how on-demand tool fabrication can regularize robot learning by transforming rare, difficult tasks into familiar interactionsâreducing the combinatorial complexity of open-world robotics.
Published:
What if instead of billion-dollar autonomous driving approaches, we could kickstart robotics data collection with cheap, cute collectible robots that consumers actually want to interact with?
Published:
Exploring how on-demand tool fabrication can regularize robot learning by transforming rare, difficult tasks into familiar interactionsâreducing the combinatorial complexity of open-world robotics.
Published:
What if instead of billion-dollar autonomous driving approaches, we could kickstart robotics data collection with cheap, cute collectible robots that consumers actually want to interact with?
Published:
Exploring how on-demand tool fabrication can regularize robot learning by transforming rare, difficult tasks into familiar interactionsâreducing the combinatorial complexity of open-world robotics.
Published: Coming soon
Published:
The ability to identify and localize objects in an environment by humans and other animals is powered by the agentâs ability to predict where an object is likely to be in the environment. We explore the use of this idea as a prior to improve detection of objects in the scene, which can be seen as the conditional posterior.