What senses does embodied AI need beyond vision? Join us at Sense of Space Workshop @CVPR — a full-day workshop on multi-sensory modeling for embodied intelligence. 📅 June 3rd 📍 Mile High 2C, Denver 🖼 Posters: Hall A #275–282 Featuring invited talks from leading researchers across robotics, vision, sensing, and embodied AI. @NimaFazeli7 @notmahi @mapo1 @wojmatusik Christian Theobalt @mangahomanga @Boyiliee @yswhynot @LingjieLiu1 @pliang279 @Ismini_L Website: sense-of-space.github.io/ #CVPR2026 #EmbodiedAI #Robotics #MultimodalAI #TactileSensing #SpatialIntelligence Powered by the amazing team! @RaoFu79761158 @LiGuankfd2 @alex_kai2020 Kun He @tomhodan Ergys Ristani Jessica Yin @AntheaYLi @yining_hong Devin Murphy Ray Song @xyz2maureen @ericyi0124 Qi Ye @YunzhuLiYZ @haoshu_fang @ruoshi_liu Vatsal Mehta @LuoYiyue @MengyuLearner

"Cross-embodiment" is a sign of generalization. We’ve seen huge progress in manipulation and navigation — but what about humanoid whole-body control? Can ONE policy control multiple different humanoids? Meet our #ICRA2026 work 🦅EAGLE: Embodiment-Aware Generalist Specialist Distillation for Unified Humanoid Whole-Body Control. Instead of brute-force URDF / morphology domain randomization, we iteratively distill specialists into one generalist. We also find that embodiment-aware representations matter for policy learning. 🔗 website: eagle-wbc.github.io/ 📜 arXiv: arxiv.org/abs/2602.02960

Can we bridge the Sim-to-Real gap in complex manipulation without explicit system ID? 🤖 Presenting Contact-Aware Neural Dynamics — a diffusion-based framework that grounds simulation with real-world touch. Implicit Alignment: No tedious parameter tuning. Tactile-Driven: Captures non-smooth contact events. Consistent: Stable predictions in contact-rich tasks.

Can we bridge the Sim-to-Real gap in complex manipulation without explicit system ID? 🤖 Presenting Contact-Aware Neural Dynamics — a diffusion-based framework that grounds simulation with real-world touch. Implicit Alignment: No tedious parameter tuning. Tactile-Driven: Captures non-smooth contact events. Consistent: Stable predictions in contact-rich tasks.

Can we bridge the Sim-to-Real gap in complex manipulation without explicit system ID? 🤖 Presenting Contact-Aware Neural Dynamics — a diffusion-based framework that grounds simulation with real-world touch. Implicit Alignment: No tedious parameter tuning. Tactile-Driven: Captures non-smooth contact events. Consistent: Stable predictions in contact-rich tasks.

What makes robot hands dexterous? 🤖🖐️ We generate robot hands control, sim-to-real, in under 24 hours. Paper: Cross-Embodied Co-Design for Dexterous Hands 🔥 Rapid evaluation w/ cross-embodied policies 🦾 Open-source modular hand platform 💡 Automated full-hand generation

I will join Tsinghua University, College of AI, as an Assistant Professor in the coming month. I am actively looking for 2026 spring interns and future PhDs (ping me if you are in #NeurIPS). It has been an incredible journey of 10 years since I attended an activity organized by Tsinghua University and decided to change my undergraduate major from Economics to Computer Science, inspired by one of the teammates. During the 10 years, I met with appreciation of many wonderful researchers/professors who led me to continued growth. 🐿️ My research focus will continue to be AI & Robotics, with a specific emphasis on Interactive Embodied Intelligence. You can check my homepage to learn more: maureenzou.github.io/lab.htm…. I am currently local to San Diego and will be attending #NeurIPS. Please ping me over WeChat or Email if any old or new friends are interested in having a coffee chat! (Really looking forward to meeting as many friends as possible at #NeurIPS) [The photo is one of the places that I will miss a lot in the US]