Sean Ye
@Seancye
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Robotics PhD Student @core_robotics and @GeorgiaTech
Atlanta, Georgia
Joined August 2011
Delighted to cap this year off holding @Seancye and @Pradyumna_T. Their legacy for the @core_robotics is immense, pioneering work on generative AI (diffusion models and LLMs). Your leadership will be missed. @zoox and Toyota Research Institute are lucky to have you! To check…
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@mlatgt @gtcomputing @GTrobotics @Seancye @core_robotics Something I’m proud of with the @core_robotics is how collaborative we are. The papers is shared could not have been done without the amazing work of @KinManLee7, Zixuan Wu, Manisha Natarajan, @Cosmo_Xiao, @zulfiqarzaidi95, as well as two excellent, outside collaborators at…
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@mlatgt @gtcomputing @GTrobotics Interested in how else diffusion models can be leveraged for robot model learning? Check out more papers by @Seancye et al. from @core_robotics. Check them out: https://t.co/ZKIcNtDnAV
https://t.co/GNQnEkttVb
https://t.co/uSJQqw4rRa
arxiv.org
Advances in robot learning have enabled robots to generate skills for a variety of tasks. Yet, robot learning is typically sample inefficient, struggles to learn from data sources exhibiting...
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Diffusion models can forecast trajectories, which can help with predicting aircraft flight paths to helping robots generate motion plans in complex environments. Check out our latest work on this topic that Dr. Sean Ye presented #IROS2024! Teaser Talk: https://t.co/lghcYIcmPm
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Congrats to Dr. Sean Ye and Dr. Pradyumna Tambwekar on defending their PhDs on "Trajectory Modeling using Generative Approaches for Scheduling, Planning, and Multi-Agent Systems" and "Human-Centered Specification and Explanation for Mixed-Initiative Interactions", respectively!🎉
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In a little over a week, I'll be sharing 5 years worth of learnings about robot painting, including cable robot control, optimization, and embodied generative AI! (deets 👇) Additionally, if you want to make your very own graffiti art with my robot, DM me within the next week :)
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Can Diffusion Models help robots predict agent behavior (a problem in autonomous vehicles (AVs) to narcotics interdiction)? Yes! @Seancye shared his pioneering work @MultiRobotSys in what may revolutionize imitation learning, IRL, LfD, etc. A🧵1/n Paper: https://t.co/GYPWTZHZak
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Come play catch with ESTHER if you’re at the @corl_conf tomorrow morning AND afternoon at the Demos! @core_robotics @ICatGT @zulfiqarzaidi95 @MatthewGombolay
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Dive into our research on robot team communication and adversary tactics in our latest paper: https://t.co/pWETgcqNP7 w/Zixuan Wu, Byeolyi Han, and @MatthewGombolay for an in-depth discussion tomorrow (11/7) at our poster and Oral Session 2 (1:45-2:45)! @core_robotics #CoRL2023
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We're outsmarting robot teams without peeking at their playbook! By using the surrogate policies to estimate the ground truth reward, we craft an adversary that can scramble communications, all without ever needing to see their actual reward signal.
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Starting off, we gather data on nominal agent behaviors and messages to learn a cloned surrogate policy. Our breakthrough: learning to exploit this policy in complete isolation, keeping our methods and any reinforcement learning exploration hidden.
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Ever wondered if it's possible to hijack a robot team through communication sabotage? Our #CoRL2023 paper reveals how an adversary communication can coerce robots into unsafe actions by altering their message exchanges, all while learned completely offline in a black box manner.
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The @CoreRoboticslab at #IROS2023 had 3 paper presentations, 1 demo, + 1 workshop organized. Kudos to my amazing students for being tremendous ambassadors of our work. Thanks also @gtcomputing for putting together this sweet site highlighting the impact: https://t.co/2teWQXQY1C
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