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Building in the New Spatial Intelligence Era | Spatial Frontier Club x Mission Robotics

September 23, 2026 at San Francisco in San Francisco, CA

About the Event SFC and Mission Robotics are bringing the community together for another evening of Spatial Intelligence in San Francisco! Over the past few months, the Spatial Intelligence landscape has been moving quickly. A new wave of models and tools is making capabilities across 3D generation, reconstruction, spatial reasoning, world modeling, and interaction with physical environments increasingly accessible. For researchers and builders across World Models, Robotics, 3D, Computer Vision, and Physical AI, this creates a new set of questions around what these capabilities actually unlock, how existing workflows and research directions may change, and where the hardest problems still remain. This gathering is designed for researchers, engineers, founders, and builders to share recent work, exchange ideas, and discuss what this shift means for the broader Spatial Intelligence ecosystem. The evening will combine short technical talks, open discussion, and networking. Come with a project to share, a question to explore, or simply an interest in what others are building. Who Should Attend Spatial Intelligence World Models Robotics & Physical AI Robot Learning & Embodied AI 3D Generative AI Computer Vision & Multimodal AI Computer Graphics Neural Rendering & Gaussian Splatting Simulation & Digital Twins XR & Spatial Computing We welcome researchers, engineers, technical artists, founders, product leaders, investors, students, and ecosystem builders whose work touches these areas. Event Format 5:30 PM – 6:15 PM Arrival, networking, food & drinks 6:15 PM – 7:30 PM SFC & Mission Robotics welcome, speaker talks and technical sharing 7:30 PM – 8:00 PM Open discussion and audience Q&A 8:00 PM – 9:30 PM Community mixer and networking Featured Speakers 1. Salman Shahid from Google DeepMind Salman Shahid is a Research Engineer at Google DeepMind, working on Embodied Reasoning. His research focuses on training robot policies with high dexterity while preserving the generalization capabilities of underlying models. Before joining Google DeepMind, he conducted independent research on Stanford’s BEHAVIOR robotics challenge, fine-tuning Physical Intelligence’s π0.5 VLA model. His work found that proprioceptive dropout can significantly improve policy robustness, while receding-horizon control outperformed temporal ensemble methods, improving door navigation success from 30% to 100%. 2. Hokin Deng from Carnegie Mellon University Hokin Deng is a researcher working on video reasoning AI, studying how machines can understand and predict the physical world from video. He leads VBVR, a large-scale video model benchmark spanning 56 authors across 32 universities, which reached #1 on Hugging Face and was named Paper of the Month, alongside publications at ICML. He previously conducted research in cognitive science and neuroscience at Johns Hopkins, Harvard and Carnegie Mellon. Paper: https://arxiv.org/abs/2608.26105 3. Jake Fitzgerald Creator of text-to-cad Jake has spent the past six months exploring agentic hardware design at South Park Commons. He created text-to-cad, an open-source project with 16K GitHub stars and 200K downloads, equipping AI agents with tools for 3D modeling, simulation, manufacturability checks, and robot planning. Using these tools, he designed and built a six-degree-of-freedom robot arm—without any prior experience building robots. In this talk, he’ll share the possibilities and practical challenges of using LLMs to design and build hardware. Previously, Jake co-founded Derive Labs, a crypto options exchange, and worked as a software engineer at WhatsApp. https://www.texttocad.dev/ Call for Speakers We’re currently inviting speakers to share recent research, technical demos, and insights from their work. We’re especially interested in work exploring how recent advances in spatial models and tooling are changing what’s possible across World Models, Robotics, 3D, Spatial Reasoning, Simulation, and Physical AI. Interested in speaking? Select the “Speaker” option when registering on Luma and include a brief description of your proposed topic. You’re welcome to add a link to a paper, project, or demo. We’ll follow up with selected speakers to discuss the session. About the Hosts Spatial Frontier Club Spatial Frontier Club is a Bay Area community connecting researchers, founders, investors, and builders working across Spatial Intelligence, World Models, Robotics, Embodied AI, Simulation, 3D technology, and Physical AI. Mission Robotics Mission Robotics is building the beating heart of robotics in the Mission, bringing together the leading builders, founders, and mad scientists making embodied AI a reality. If your robot got you kicked out of a WeWork, we want you here. Registration This is a curated gathering with limited capacity. Please register using your current affiliation and include a short note about your work or interest in the event themes. Priority may be given to applicants whose backgrounds are closely aligned with the discussion. ✦ Spatial Frontier Club Join a growing community of researchers, founders, engineers, and investors building the future of Spatial Intelligence and Physical AI. Luma: luma.com/spatialfrontierclub LinkedIn: Spatial Frontier Club X: @SpaceFronClub WhatsApp: Join our community Discord: Join our community Contact: [email protected]
Date: September 23, 2026 Time: 6:00 PM 9:00 PM

San Francisco as a “venue” usually means the event could be in a private dining room, a historic building, or a coworking or gallery-style space somewhere in the city. Tech and founder dinners like the Junto series often use private clubs or reservation-only restaurants, with multi-course meals at shared tables and a set program. Larger mixers such as SF Climate Week happy hours tend to be in central locations with structured check-in, name badges, sponsor signage, and access to nearby paid parking garages, especially around corridors like Van Ness and downtown. more...

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