Seattle, WA, USA
Joined November 2022
Introducing “EVE: Enabling Anyone to Train Robots using Augmented Reality”. 📱EVE is an iOS app that enables everyday users to train robots using intuitive augmented reality visualizations without needing a physical robot. #AR #Robotics #UIST2024 Here is a teaser:
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Jun Wang retweeted
#UIST2024 banquet! Thanks all for joining!
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Hey hey! I'll be at #UIST2024 to present 𝗖𝗼𝗼𝗸𝗔𝗥 ☺️ CookAR is an AI-powered wearable AR prototype that augments kitchen tool affordances in near real-time for low vision users, enabling safer and more efficient tool interactions. (1/6)
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Humans learn and improve from failures. Similarly, foundation models adapt based on human feedback. Can we leverage this failure understanding to enhance robotics systems that use foundation models? Introducing AHA—a vision-language model for detecting and reasoning over failures in robotic manipulation. Project page: robofail-vlm.github.io/ 🧵Thread👇 Aha!
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Topcoder paused their competitions, so I had to go for another 4000.
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🧵7/8: More Info We hope EVE will expedite the incorporation of robots into daily lives. For more information, check out: 📜Paper: arxiv.org/abs/2404.06089 🔗Website: junwang0510.github.io/EVE/ Also, I will be presenting this work at UIST 2024. Come say hi if you are in Pittsburgh!
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🧵8/8: Acknowledgements Finally, I would like to thank my collaborators and advisors Chun-Cheng Chang, @DJiafei , Dieter Fox, and @RanjayKrishna ! This is my first first-authored paper, and I am looking forward to more collaboration in the future.
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Prof. Gil Strang's last lecture is ... Monday! Watch it via live stream: grinfeld.org/strang/
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