"There’s been a lot of work in the field to make robots understand language, where you go from language to a simplified, high-level abstraction to robot actions. But the problem is that symbolic representation, or the list of things a robot can do, is very limited. Basically, robots can’t do very much. So even though we have large language models and large vision models that are very powerful, using them to make robots do a lot of different things is still an unsolved problem." Stefanie Tellex, Associate Professor of Computer Science at Brown University, is one of 12 visiting fellows at the Institute. Learn about her work connecting language to robotic capabilities, her path to becoming a professor and working at the AI Institute, and where she hopes the field will go in the next five to ten years — https://lnkd.in/ey_5StKN
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For the past few months, we've been collaborating with NVIDIA and ETH Zürich to simplify research workflows for robot learning. Today, we're excited to see the result of this work, Isaac Lab, which is part of NVIDIA's latest release of Isaac Sim. Isaac Lab, available today, is an open-source framework for robot learning that aims to simplify common workflows, including reinforcement and imitation learning. Learn more at https://lnkd.in/es65-c-8
Supercharge Robotics Workflows with AI and Simulation Using NVIDIA Isaac Sim 4.0 and NVIDIA Isaac Lab | NVIDIA Technical Blog
developer.nvidia.com
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Research at our Zurich office is now underway! Marco Hutter, director of our Zurich team, sat down with Evan Ackerman from IEEE Spectrum to talk about the next steps in robotics and AI research and how we're melding the best of academia and industry — https://lnkd.in/egaZnJXr
Marco Hutter Wants to Solve Robotics' Hard Problems
spectrum.ieee.org
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Robots have come a long way in 40 years, but they still have a long way to go. Join us in making the intelligent robots of the future. We have positions open in both Cambridge, MA and Zurich — https://lnkd.in/gXba9CR2
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Join us as we embark on a mission to create the next generation of robots. Our research teams are focused on combining cognitive intelligence with athletic intelligence in order to make robots smarter, more capable, and easier to work with. Learn more — https://lnkd.in/eWfCBpVJ
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Happy New Year! Stay tuned for updates from our research teams in 2024. In the meantime, enjoy this tango performed by our Boston Dynamics Spot robots — https://lnkd.in/e9gMz6FQ Want to get in on the action? We’re hiring engineers and research scientists — https://lnkd.in/eH9c4ZAK
It Takes Two to Tango
https://www.youtube.com/
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We’re thrilled to announce that Dr. Marco Hutter will be joining The AI Institute as the director of our Zurich office! Dr. Hutter, professor for Robotics at ETH Zurich and director of the ETH Center for Robotics, has been a visiting fellow with the Institute since March 2023 and will expand his role with this new position. Under Dr. Hutter’s leadership, the Zurich team will advance the development of agile and dexterous intelligent machines, enabling them to operate in some of the world’s most challenging and unstructured environments. Read more — https://lnkd.in/dyrGTrFq Photo courtesy of Swiss Robotics Day.
The AI Institute Recruits Dr. Marco Hutter to Lead Its Zurich Office — The AI Institute
theaiinstitute.com
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The AI Institute is coming to Europe with a new office in Zurich in early 2024. The Zurich team will expand the Institute’s focus in core areas such as cognitive AI, athletic AI, organic hardware design, machine learning, and dexterous mobile manipulation, and will connect the Institute to talent, universities, and research organizations in the vibrant European ecosystem. Learn more — https://lnkd.in/exK-Jw9N
The AI Institute is Coming to Zurich
theaiinstitute.com
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Our team is hiring! Help us develop future generations of intelligent machines. https://lnkd.in/gXba9CR2
