We screened a broad pool of VLA data collection hardware suppliers and shortlisted 9 representative options across camera modules, stereo systems, turnkey head-mounted devices, and modular embodied-AI capture platforms. Key takeaway: 📹Modules A–C lead in cost efficiency and scalability. 📹D–E are strong turnkey evaluation paths. 📹F–G fit specialist system-level needs. 📹H–I are branded / modular reference products. For embodied AI teams, hardware selection is no longer just about camera resolution. The real questions are: • Is the data stream synchronized? • Is IMU quality good enough? • Can calibration data be provided? • Can the supplier scale beyond samples? • Is the system suitable for real-world VLA data collection? ✍️🔗Full Report: https://t.co/nhzGmLTSnS VLA has not “died” — it is evolving through deep integration with WM. In 2026 and beyond, the winners will not be single models, but integrated systems capable of building self-driven data-model-control closed loops. Avoiding falling into “outdated theory” debates or “new concept hype,” and instead focusing on the robustness and scalability of real physical interactions, is precisely what every true builder should be doing. #EmbodiedAI #Robotics #VLA #Hardware #SupplyChain #ShenzhenFoundry