Yuke Zhu

@yukez

Researcher | Assistant Professor (Starting Fall 2020) | CS PhD | I teach robots to learn and see 🤖 | Opinions are my own

Vrijeme pridruživanja: kolovoz 2008.

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  1. Prikvačeni tweet
    2. ruj 2019.

    Life update: I will be joining as an Assitant Professor in starting Fall 2020. I am thrilled to continue my research on robot learning and perception as a faculty and look forward to collaborating with the exceptional faculty, researchers, and students at UT.

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  2. 2. velj

    Brilliant performance art of hacking Google Maps illustrating why we should keep a critical eye on our reliance on technology and algorithmic governance in our daily lives

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  3. 23. sij

    We have two papers on learning keypoint representations for robot manipulation accepted in . 6-PACK: Category-level 6D Pose Tracker with Anchor-Based Keypoints KETO: Learning Keypoint Representations for Tool Manipulation

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  4. proslijedio/la je Tweet

    : I see overwhelming discussion on the downsides of academia. I worry what this does to the hope & inspiration of grad students with ambitions to go into academia. Given that I think is the best job ever, my thoughts on life as an academic. A thread 👇🏽

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  5. 8. pro 2019.

    Excited about coming back to Vancouver, the beautiful city where I attended college, for Looking forward to catching up with the latest research and hanging out with friends!

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  6. 22. stu 2019.

    Some of my proudest memories of my PhD are working with people from different countries and being advised by a stellar all-women thesis committee. I encourage students from diverse backgrounds to apply for my future lab where diversity and inclusion will be valued.

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  7. 16. stu 2019.

    Sharing the slides of my talk "Learning Keypoint Representations for Robot Manipulation" presented at the Workshop on Learning Representations for Planning and Control Slides: Workshop:

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  8. 16. stu 2019.

    Very insightful blog post by Vincent Vanhoucke. Many of the principles are also applicable to Ph.D. students and academics.

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  9. proslijedio/la je Tweet
    8. stu 2019.

    Smart people have realized one of my former startup ideas: ... there might be challenges but I really think it has high potential! Might become the new robot programming job!

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  10. proslijedio/la je Tweet
    5. stu 2019.

    De-An Huang from presents our work on Continuous Relaxation of Symbolic Planner for One-Shot Imitation Learning. Talk is today 11:15am at L1-R2 Work with Paper:

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  11. 5. stu 2019.

    Ajay gave a great talk on our RoboTurk project , nominated for Best Paper on Cognitive Robotics. Large-scale real robot dataset through crowd teleportation! More information can be found at

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  12. 1. stu 2019.

    At next week, I will be giving invited talks: 1. "Learning How-To Knowledge from the Web" at AnSWeR (Mon) 2. "Learning Keypoint Representations for Robot Manipulation" at LRPC (Fri) Come to learn about our recent work!

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  13. 29. lis 2019.

    Introducing our work on hierarchical planning

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  14. 29. lis 2019.

    KETO keeps tool representations slim and strong. We developed a self-supervised learning framework of KEpoint representations for TOol manipulation. Check it out!

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  15. 28. lis 2019.

    I am super excited to attend in Osaka this week and in Macau next week, presenting our recent works on Hierarchical Planning and RoboTurk. Looking forward to catching up with friends and colleagues! Drop me a message if you'd like to have coffee and chat!

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  16. 24. lis 2019.

    Dear academics, check out our 6 pack!! 💪 Ok... I meant 6-PACK, our new 6DoF Pose Anchor-based Category-level Keypoint tracker, real-time tracking of novel objects without known 3D models!

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  17. 21. lis 2019.

    ... and I could never complete these works without collaborating with a group of brilliant people - check out them in the last slide of the talk :)

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  18. 21. lis 2019.

    Releasing my Stanford Ph.D. dissertation and talk slides "Closing the Perception-Action Loop: Towards Building General-Purpose Robot Autonomy", a summary of my work on robot perception and control Slides: Dissertation:

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  19. 11. lis 2019.

    Awww Michelle, I am flattered by your kind words. And yes, we are hiring!

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  20. 9. lis 2019.

    Excited to start my gap year in ! Looking forward to a lot of new research opportunities with the brilliant minds!

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  21. 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/

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