Saturday, October 31, 2026

Bigwave Robotics brings Physical AI summit to Seoul with NVIDIA and eight other firms

Bigwave Robotics brings Physical AI summit to Seoul with NVIDIA and eight other firms

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When eight companies and dozens of manufacturing leaders gather in one room to talk about robots that can actually think and act in the real world, it’s a sign that industrial artificial intelligence is no longer just a lab experiment. That was the scene at BIGWAVE SHIFT 2026, hosted by Bigwave Robotics in Seoul on October 22, 2026.

Bigwave Robotics brings Physical AI summit to Seoul with NVIDIA and eight other firms

NVIDIA took the stage at BIGWAVE SHIFT 2026 to lay out its perspective on where Physical AI is heading, while DexRobot showed off its own robotics technology during the summit.

Bigwave Robotics brings Physical AI summit to Seoul with NVIDIA and eight other firms – image 2

DexRobot also presented its latest robotics insights at the event, which was held at SKY31 in Seoul, South Korea.

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Bigwave Robotics brings Physical AI summit to Seoul with NVIDIA and eight other firms – image 3

The Oct. 22 summit featured nine sessions by eight companies, robot demonstrations and exhibits focused on industrial Physical AI applications.

TROY, MI, UNITED STATES, October 30, 2026 /EINPresswire.com/ — Bigwave Robotics organized BIGWAVE SHIFT 2026 – Industrial Physical AI Summit at SKY31 in Seoul, South Korea, on October 22, 2026. The gathering drew manufacturing executives, robotics and AI developers, and researchers who came together to explore how artificial intelligence can be built, tested, and put to work in industrial settings.

Operating under the banner “Physical AI Moves Industry,” the summit ran nine sessions with contributions from eight companies: NVIDIA, TwelveLabs, PwC Consulting, NC AI, RealWorld, DexRobot, Rainbow Robotics, and Bigwave Robotics itself. Attendees also got to see a live demonstration of Bigwave’s Hyper Foundry platform and browse a partner exhibition area.

■ From Technical Possibility to Industrial Execution

Presentations spanned topics such as simulation, model training and inference; multimodal AI tailored to specific industries; robot foundation models; and the adoption and commercialization hurdles that industrial organizations face. The core conversation revolved around what it actually takes to turn AI breakthroughs into capabilities that can be tested, validated, and run on physical machinery.

Minsoo Song, senior manager at NVIDIA, kicked off the presentation program. Bigwave Robotics CEO Minkyo Kim then laid out the company’s view of the industrial Physical AI market and its strategic roadmap. In the closing session, CTO Junbong Song offered a framework that connects robot data collection to model development and final deployment.

Throughout these sessions, the conversation kept returning to a pivotal question for manufacturing and logistics firms: how do you convert advances in AI into repeatable robot behaviors that can be verified and evaluated under real operating conditions?

■ Putting the Development Process on Display

Bigwave put Hyper Foundry, its Physical AI development platform, through its paces with a humanoid robot. The live demonstration illustrated a complete workflow that ties robot data collection to AI model training and then to actual robot motion.

Hyper Foundry bundles four components into a single development environment:

• Data Studio collects and synchronizes robot data.

• Model Studio supports imitation learning and reinforcement learning.

• Mission Studio connects trained models to robots for deployment and execution.

• Data Library manages datasets, models and deployment histories.

The demo showed how these stages link together, while the presentations explored the additional validation needed to adapt trained models to customer-specific tasks and operating conditions.

■ Building Connections Across the Industry

Away from the main stage, DexRobot, Rainbow Robotics, RealWorld, and TwelveLabs displayed their newest technologies in the partner exhibition and networking lounge. Industry representatives and researchers traded ideas about technical capabilities, potential applications, and paths for future collaboration.

“Through this SHIFT, we confirmed strong industry interest in Physical AI and expectations for real-world adoption,” said Minkyo Kim, CEO of Bigwave Robotics. “The Hyper Foundry demonstration and the presentations from leading technology companies provided an opportunity to discuss real-world applications.”

Bigwave said it plans to turn SHIFT into an annual forum, with future editions focusing on emerging technologies and the implementation priorities that matter most to industry.

“Starting with Physical AI this year, BIGWAVE SHIFT will evolve each year by addressing the technologies and innovation agendas that industrial sites are watching most closely,” Kim said. “We will develop it into an annual forum where companies and research institutions explore the direction of future industry together.”

■ Bigwave’s Expanding Role

The summit underscored Bigwave’s growing footprint in robot adoption, intelligence development, and field operations. Hyper Foundry helps companies develop and deploy robot AI models, while SOLlink offers software for running different types of robots together. Through SHIFT, the company aims to keep the conversation flowing among AI developers, robotics firms, researchers, and industrial users.

■ About Bigwave Robotics

Bigwave Robotics is an Industrial Physical AI company serving customers ranging from small and midsize enterprises to large industrial groups, including Samsung, SK and Hyundai Motor Group. The company provides robot integration, automation solutions and software platforms, including SOLlink for multi-robot operations and Hyper Foundry for Physical AI development.

Additional information is available at https://us.bigwaverobotics.com.

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Why it matters: As factories and warehouses push for automation that can adapt to messy, real-world conditions, events like BIGWAVE SHIFT signal that Physical AI is moving from research papers to production floors. The collaboration between chipmakers like NVIDIA, robotics startups, and industrial giants suggests that the next wave of manufacturing innovation will depend less on hardware alone and more on the software intelligence that controls it.


David Hall

David Hall

David is the senior editor at TheCyberMag. He has a background in journalism and has worked with various media outlets, covering topics ranging from threat intelligence and data privacy to cybercrime and cloud security. When he is not writing, David enjoys reading, hiking, photography, and exploring new coffee shops.