Silvio Savarese

@silviocinguetta

Professor of Computer Science, Stanford U; Director of the SAIL-Toyota Center for AI; Director of . , and

cvgl.stanford.edu
Vrijeme pridruživanja: rujan 2014.
14 fotografija ili videozapisa Fotografije i videozapisi

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  1. 31. lis 2019.

    Great work by student Iro Armeni and co-authors on creating scene graphs for 3D environments.

    Stop by our poster (125) this morning to chat about our work on 3D Scene Graph!
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  2. 29. lis 2019.

    New benchmark for social robot navigation in crowed environments is available at . This is the largest dataset up-to-date!

    What type of data and perceptual problems need to be solved to bring robots to navigate and interact in human environments? Come to figure out to our morning workshop at Room 307A! Great speakers and our new dataset from JackRabbot, the JRDB:
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  3. 29. lis 2019.

    Great work by Will Shen and students on visual representation for navigation!

    William Shen from , is presenting this now at Poster 160. Stop by to learn more!
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    8. lis 2019.

    A new work on structuring diverse semantics in 3D space that yielded the 3D Scene Graph! It’s showcased on the Gibson database by annotating the models with diverse semantics using a semi-automated method.

    What space should diverse semantics be grounded & what should be the structure? 3D Scene Graph is a 4-layer structure for unified semantics, 3D space &camera. We demonstrate it on Gibson models with an automated labeling method. Data available to download!
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    6. lis 2019.

    New work: we built a meta-learning algorithm for an agent to discover the causal and effect relations from its visual observations and to use such causal knowledge to perform goal-directed tasks. Paper: Joint work w/

    Korisnici , i
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    12. ruj 2019.

    Our new work at will present RL with Ensemble of Suboptimal Teachers -aka- specify as much as you can easily, let learning handle the rest. Blog: Paper: w\ , A. Mandlekar, ,

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  7. 24. lis 2019.

    Interesting blog on recent developments on robot learning and the path towards getting low cost and intelligent robots for real world applications.

    I wrote a blog post about how we can build increasingly intelligent robots & deploy them in the real world, outside of factories. It cites a bunch of awesome research from a lot of really smart friends/colleagues! Part 1 Part 2
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  8. 10. svi 2019.

    great work from Stanford student at !

    We are releasing the Minkowski Engine, a fast multi-gpu high-dimensional convolution library for sparse tensors. Please checkout the Minkowski Engine . Doc: and the paper can be found at
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    13. ožu 2019.

    We unveiled new navigation method only using an RGB camera. We trained the control policy through Visual MPC. The control policy can realize the navigation in the real environment with obstacle avoidance. website arXiv paper

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  10. 13. ožu 2019.

    A new very important, timely and exciting initiative has been just launched today at Stanford!

    Hi, we are the Institute for Human-Centered Artificial Intelligence. AI has the potential to transform our world – how will we ensure it improves life for all of us? Join us in our work to explore this dream of a better future.
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    26. lis 2018.

    Pumped to share our work on large scale learning from people as described in 'Robots learn tasks from people' 1/3

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    28. lis 2018.

    For times when you really need to control the robot from atop the Swiss Alps at 7000ft, we present to you Roboturk Come see us at CoRL 2018 for a live demo of

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  13. 23. lis 2018.

    It's very exciting to see that the HAI initiative is coming to light. Best of luck to the leadership team!

    Stanford today soft launches our Human-Centered AI Initiative. I’m very excited to be co-directing this initiative with former provost John Etchemendy. Our mission: To advance research, education, policy, and practice to benefit humanity.
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    21. lis 2018.

    What Comes After the Roomba? Possibly Jackrobbot like systems. Another great piece on robots by Ft. @StanfordCVGL

    5 proslijeđenih tweetova 14 korisnika označava da im se sviđa
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  15. 4. lis 2018.

    Congratulations to Stanford team at 2018 for their work on perception: best paper award finalist -well done , Noriaki et al.

    Great to hear that our work "GONet" has been selected as the Best Paper Award Finalist on Safety, Security, and Rescue at 2018. Congrats to Noriaki Hirose, , Patrick Goebel, for the terrific team effort!
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    23. ruj 2018.

    Who will change the world? Icon Kai-Fu Lee nominates AI researcher and activist Fei-Fei Li | "I think of Li as the conscience of AI... Very few [AI researchers] would stand up and call for things that are important for the future of humankind."

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  17. 27. ruj 2018.

    Very proud of our Stanford team @StanfordCVGL for making possible the first public appearance of our 2nd generation social robot JR2!

    0:19
    Introducing JackRabbot 2. Like its predecessor, the intentionally cute "social" robot is learning to navigate safely through spaces occupied by people, following the rules of human etiquette.
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  18. 4. ruj 2018.

    Very proud of Amir , our Stanford team @ZhiyangH , and collaborator Jitendra Malik for their terrific work on real-world for agents!

    1:18
    First public release of Gibson Environment is out. Gibson is a created to support learning real-world for agents. Based on virtualizing real spaces, rather than artificial data. is integrated with PyBullet. More:
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  19. 28. kol 2018.

    It was a honor to have the chance to join a discussion panel on AI and ethics with Ravi Prasad — IT minister of India and other Stanford colleagues.

    It was an extra-ordinary visit to Stanford University. Had a wonderful exchange with its brilliant faculty on use of technology for human development and the application of AI and the challenge it poses. The faculty was deeply impressed with India's story of digital inclusion.
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  20. 24. srp 2018.

    I am delighted to share the news that I have been appointed the inaugural Mindtree Faculty Scholar at Stanford. More info:

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