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Bookmark or Share- Combining next-token prediction and video diffusion in computer vision ...Their work was supported, in part, by the U.S. National Science Foundation, the Singapore Defence Science and Technology Agency, Intelligence Advanced Research Projects Activity via the U.S. Department of the Interior, and the Amazon Science Hub. They will present their research at NeurIPS in December.
- Robotics | MIT News | Massachusetts Institute of TechnologyCombining next-token prediction and video diffusion in computer vision and robotics. A new method can train a neural network to sort corrupted data while anticipating next steps. It can make flexible plans for robots, generate high-quality video, and help AI agents navigate digital environments. October 16, 2024. Read full story →
- A faster, better way to train general-purpose robotsThe research will be presented at the Conference on Neural Information Processing Systems. Inspired by LLMs A robotic “policy” takes in sensor observations, like camera images or proprioceptive measurements that track the speed and position a robotic arm, and then tells a robot how and where to move.
- Robotic cubes shapeshift in outer space - MIT NewsNisser wrote the paper alongside Leon Cheng and Yashaswini Makaram of MIT CSAIL; Ryo Suzuki, assistant professor of computer science at the University of Calgary; and MIT Professor Stefanie Mueller. They will present the work at the 2022 International Conference on Robotics and Automation.
- The new wave of robotic automation - MIT NewsIn May 2017, Realtime Robotics set up shop at MassRobotics, a Boston-area robotics collective. Three months later they had completed their first seed round of funding and landed their first contract with Amazon Robotics. A year later, they had demonstrated their first killer demo for an audience that included two of the top six robot makers.
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