{"id":130483,"date":"2026-07-22T08:31:54","date_gmt":"2026-07-22T08:31:54","guid":{"rendered":"https:\/\/www.seeedstudio.com\/blog\/?p=130483"},"modified":"2026-07-22T08:31:54","modified_gmt":"2026-07-22T08:31:54","slug":"rss-2026-recap-physical-ai-moves-toward-reality-with-open-source-robotics-platforms-driving-innovation","status":"publish","type":"post","link":"https:\/\/www.seeedstudio.com\/blog\/2026\/07\/22\/rss-2026-recap-physical-ai-moves-toward-reality-with-open-source-robotics-platforms-driving-innovation\/","title":{"rendered":"RSS 2026 Recap: Physical AI Moves Toward Reality, with Open Source Robotics Platforms Driving Innovation"},"content":{"rendered":"\n
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Robotics is moving fast.<\/p>\n\n\n\n

With rapid advances in large AI models, Vision-Language-Action (VLA) models, robot learning, and edge AI computing, robots are evolving from traditional automated machines into intelligent systems capable of perceiving, learning, and interacting with the physical world.<\/p>\n\n\n\n

Held in Sydney, Australia, Robotics: Science and Systems (RSS) 2026<\/a><\/strong> brought together leading researchers, universities, and robotics innovators from around the world to showcase the latest breakthroughs in robotics.<\/p>\n\n\n\n

At RSS 2026, Seeed Studio connected with researchers, developers, and robotics communities worldwide to explore the future of Physical AI. We showcased our latest robotics solutions, including reBot Arm B601<\/a>, Reachy Mini<\/a>, and NVIDIA Jetson-powered edge AI robotics platforms<\/a>, demonstrating how open hardware and AI computing can accelerate robotics innovation.<\/p>\n\n\n\n

RSS 2026: Robotics Research Enters the Physical AI Era<\/h2>\n\n\n\n

Unlike traditional industrial robotics exhibitions, RSS focuses on cutting-edge academic research and emerging technologies in robotics.<\/p>\n\n\n\n

This year, several key research directions stood out across the conference:<\/p>\n\n\n\n

    \n
  • Robot Learning<\/li>\n\n\n\n
  • Vision-Language-Action (VLA) Models<\/li>\n\n\n\n
  • Dexterous Manipulation<\/li>\n\n\n\n
  • Human-Robot Interaction<\/li>\n\n\n\n
  • Embodied AI<\/li>\n<\/ul>\n\n\n\n

    These topics reflect a major shift in robotics development.<\/p>\n\n\n\n

    In the past, robots were primarily designed to perform predefined tasks through manually programmed workflows. Today, researchers are exploring how robots can leverage AI models to understand their environments, learn new skills, and complete increasingly complex tasks.<\/p>\n\n\n\n

    A clear trend is emerging:<\/p>\n\n\n\n

    The next generation of robots will not only execute commands \u2014 they will understand, learn, and adapt to the real world.<\/p>\n\n\n\n