In this presentation, Junghee Ryu, founder and CEO of RLWRLD, discusses solving five-finger dexterity for industry-level robotics automation. He introduces RealDex-1, a cutting-edge Vision-Language-Action (VLA) robotics foundation model engineered to replicate human-level hand abilities. While traditional automation handles up to 75% of industrial tasks, Junghee explains how Real World bridges the final gap by capturing physical AI data directly from skilled workers. The model outperforms competitors by embedding specialized motion, memory, and physics modules to account for moving objects, long-term memory, and tactile force feedback. Ultimately, he outlines a scalable deployment roadmap, spanning blueprinting, massive data partnerships, and labor-as-a-service models—to seamlessly integrate hardware-agnostic, five-finger robotic manipulation into manufacturing and logistics operations.

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In this presentation, Leopold Beer, Vice President of Sensors at Renesas, explains why sensing, not AI software, is the current bottleneck for humanoid robotics. He addresses the issues of position error accumulation and unawareness of physical contact, which make current human-robot interactions fragile. Leopold outlines Renesas's cutting-edge hardware solutions, advocating for inductive position sensing over traditional optical or magnetic encoders to create compact, EMI-immune, and cost-effective robotic joints. He also introduces advanced tactile roadmaps for five-finger dexterity using impedance and grip sensing, as well as a short-range, "humanoid LiDAR" that can detect glass doors where automotive sensors fail. Ultimately, Leopold invites industry collaboration to simplify semiconductor integration on a module level and accelerate safe real-world deployment.

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In this presentation, Brendan Schulman, Vice President of Policy at Boston Dynamics, outlines the critical role of government engagement in driving the success of the humanoid robotics industry. He demonstrates how legged robots like the Spot quadruped and Atlas humanoid are moving beyond factory settings to deliver real-world value in infrastructure inspection, industrial manufacturing, and public safety. Schulman highlights the intersection of AI and robotics, showcasing how large behavioral models and reinforcement learning enable robots to navigate slippery floors and autonomously avoid workplace hazards. Ultimately, he calls for a proactive national robotics strategy focused on workforce training, safety standards, and ethical frameworks to support supply chain resilience and global competitiveness.

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This panel discussion features robotics industry leaders exploring the transition of artificial intelligence from digital domains to physical world automation. Speakers Kei Kase (Nvidia Japan), Udaya Rongala (IntuiCell), Ali Agha (Field AI), and Ivan Poupyrev(Archetype AI) discuss how spatial AI and world models serve as the foundational architecture for general physical intelligence. The presentation details the critical challenges of physical AI deployment, including limited robotic datasets, distribution drift, sensor fusion, and mitigating transformer hallucination in unstructured environments. Finally, the panel evaluates the compute restrictions of edge devices and offers varying timelines on when autonomous humanoids will achieve general physical versatility.

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In this presentation, Letian Wang, VP of Product at Robot Era, explores the evolution of physical AI and the deployment of dexterous robotic hands. He introduces the company's full-stack embodiment solutions, highlighting their real-world application in logistics and manufacturing settings. Wang details the critical engineering principles required for precise manipulation, emphasizing low-backlash dual encoders and backdrivable active compliance to ensure physical fault tolerance. The talk showcases the newly released XN1 Pro, a hardware-agnostic robotic hand featuring 21 active degrees of freedom, comprehensive three-dimensional tactile mapping, and innovative proximity sensing. Ultimately, Wang outlines Robot Era's compatibility with global research platforms and their open-source video prediction policies designed to democratize advanced data acquisition.

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In this presentation, Xiaowei Liu, representing LimX Dynamics, introduces the company's "AI-first" approach to building general-purpose, full-sized robots designed to bridge human and machine interaction. He showcases "Ollie," a full-sized humanoid robot designed for emotional communication and connection rather than just executing rigid automated processes. Liu also debuts video footage of LimX Dynamics' next-generation product lines: "Luna," a second-generation humanoid robot powered by Large Robotics Models (LRM) for entertainment, interaction, and physical performance, and "TRON 2," a versatile, three-in-one mobile platform engineered with advanced motion control to climb stairs, collect data, and empower innovators.

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In this presentation, Letian Wang, VP of Product at Robot Era, explores the evolution of physical AI and the deployment of dexterous robotic hands. He introduces the company's full-stack embodiment solutions, highlighting their real-world application in logistics and manufacturing settings. Wang details the critical engineering principles required for precise manipulation, emphasizing low-backlash dual encoders and backdrivable active compliance to ensure physical fault tolerance. The talk showcases the newly released XN1 Pro, a hardware-agnostic robotic hand featuring 21 active degrees of freedom, comprehensive three-dimensional tactile mapping, and innovative proximity sensing. Ultimately, Wang outlines Robot Era's compatibility with global research platforms and their open-source video prediction policies designed to democratize advanced data acquisition.

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