
Yoonchang Sung
@yoonchangsung
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Assistant Professor @NTUsg CCDS. Previously @UTAustin @MIT_CSAIL @VT_ECE. Robotics.
Singapore
Joined November 2024
RT @huihan_liu: Meet Casper👻, a friendly robot sidekick who shadows your day, decodes your intents on the fly, and lends a hand while you s….
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RT @liuziwei7: 🎬#CVPR2025 𝐓𝐮𝐭𝐨𝐫𝐢𝐚𝐥.🗺️𝑭𝒓𝒐𝒎 𝑽𝒊𝒅𝒆𝒐 𝑮𝒆𝒏𝒆𝒓𝒂𝒕𝒊𝒐𝒏 𝒕𝒐 𝑾𝒐𝒓𝒍𝒅 𝑴𝒐𝒅𝒆𝒍 @CVPR. 🔗 📅June 11.🚀Hosted by @MMLabNTU x….
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RT @tomssilver: Happy to share a new preprint: "Coloring Between the Lines: Personalization in the Null Space of Planning Constraints" w/ @….
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RT @cuijiaxun: [1/n] Can LLM Agents learn to communicate and coordinate in natural language in driving scenarios 🚗 through self-play intera….
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RT @leto__jean: Imagine you have collected all these training demonstrations for a manipulation policy on a static robot. What if you cou….
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RT @CaelanGarrett: Check out this MIT News article about our research on GPU-accelerated manipulation planning! @Wi….
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RT @JiahengHu1: Real-world RL, where robots learn directly from physical interactions, is extremely challenging — especially for high-DoF s….
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Ad-hoc teamwork concerns learning behaviors of an agent that can collaborate with previously unseen teammates. Excited to share our work, which reframes ad-hoc teamwork as an open-ended learning problem to produce robust and generalizable agents!.
[1/n] I’m excited to share my new paper casting Ad Hoc Teamwork (AHT) as a never-ending open-ended learning problem to improve generalization to unknown teammates, in collaboration with @ArrasyRahman @cuijiaxun, @yoonchangsung, @PeterStone_TX. Details in the thread below.
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RT @mauriciogtec: Crisis = Opportunity. I lost my funding due to federal freezes at Harvard. Seeking roles to build next-generation agentic….
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RT @utlarg: Huge congratulations to @PeterStone_TX for receiving the ACM Allen Newell Award! 🎉 We are proud to celebrate this incredible r….
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RT @ChenTangMark: I’m excited to share that I will be joining the CEE Department at @UCLA as an Assistant Professor in New Mobility this Fa….
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RT @yukez: We took a short break from robotics to build a human-level agent to play Competitive Pokémon. Partially observed. Stochastic. Lo….
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RT @HaoranGeng2: In my past research experience, finding or developing an appropriate simulation environment, dataset, and benchmark has al….
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RT @YuXiang_IRVL: Excited to organize this RSS workshop with @SnehalJauhri @GeorgiaChal @danfei_xu @GalassoFab10!.Robot learning from human….
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RT @ChenTangMark: Foundation models like LLMs and VLMs have transformed AI and our digital interactions, but what challenges arise when the….
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RT @YuXiang_IRVL: Why real-world benchmarking is important? It makes methods comparable and experiments easier. We built the SceneReplica b….
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RT @yukez: Sharing the slide deck and video recording of my talk "Data Pyramid and Data Flywheel for Robotic Foundation Models" at Princeto….
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RT @RobobertoMM: Giving a talk as New Faculty Highlight at AAAI tomorrow morning (9:30am)! Come if you want to get….
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