Blog
Insights on robotics, AI, and data collection
BC-Z: Zero-Shot Task Generalization with Robotic Imitation Learning - What Scale Really Means
Explore how BC-Z revolutionizes robotic imitation learning by enabling zero-shot task generalization through scaled demonstration data. Discover scaling laws, VLA models, teleoperation best practices, and ROI benefits for robotics companies and AI engineers.
Pi-Zero Flow-Matching Robot Policies: Revolutionizing Dexterous Control with VLM Initialization
Discover how Pi-Zero's flow-matching technique, combined with VLM initialization, is transforming generalist robot policies for dexterous control. Learn about its advantages over traditional methods, efficiency in AI training data for robotics, and implications for scalable robot deployment in industries.
RT-2: Nima uchun yuqori sifatli robotlarni o'qitish ma'lumotlari algoritmlardan ustun turadi – Google DeepMind'ning o'yinni o'zgartiruvchi tushunchalari
Google DeepMind'ning RT-2 modeli ilg'or algoritmlarga nisbatan yuqori sifatli o'quv ma'lumotlarining muhim rolini ta'kidlab, AI robototexnikasida qanday inqilob qilayotganini bilib oling. Ushbu maqola real dunyo robotining ishlashi uchun samarali ma'lumot to'plash nima uchun zarurligini ko'rsatadigan tajribalarni tahlil qiladi. AY-Robots kabi platformalar kelajakdagi innovatsiyalar uchun o'quv ma'lumotlaridagi bo'shliqni qanday bartaraf etishga yordam berishini bilib oling.
Google DeepMind tomonidan RT-2: Bu Ko'rish-Til-Harakat Modeli Robot Ta'limini Qanday O'zgartirmoqda
Google'ning RT-2 Ko'rish-Til-Harakat (VLA) modeli vizual ma'lumotlar, tabiiy til va real vaqt harakatlarini integratsiya qilish orqali robot ta'limini qanday qayta shakllantirayotganini bilib oling. Ushbu innovatsion AI texnologiyasi teleoperatorlar uchun ma'lumotlar to'plashni yaxshilaydi va robototexnika ilovalarida samaradorlikni oshiradi. AY-Robots'da AI asosidagi robotlarning kelajagiga ta'sirini o'rganing.