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ResearchPhysical AI Competitiveness: Why Standards Matter
How can South Korea secure a leading role in the global Physical AI industry? We explore data standardization, equipment interoperability, and international joint validation as key steps forward.
2026.10.10 -
Research[D-Velop Newsletter #4] Why Isn’t Automation Delivering the Expected Results?
Why isn’t factory productivity improving as expected, even after deploying robots? We explore four limitations of automation and the operational framework needed to coordinate the entire factory.
2026.09.29 -
Research[D-Velop Newsletter #3] Manufacturing Competitiveness Now Lies in the ‘Flow’
The AMR market grows 20% annually, but robots alone can`t fix bottlenecks. Based on 3D automation data, see why leaders invest trillions in central orchestration over mere hardware.
2026.09.09 -
ResearchWhen Robots Speak Different Languages, Who Translates?
Why do bottlenecks persist even with thousands of robots deployed? We explore how unified standards and integrated control systems connect the entire factory into a single organism, moving beyond isol
2026.09.02
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