TorqueAGI partners with robotics companies to deploy robots

🚨 Demos are easy. Deployment is hard. In robotics, that’s the gap every CEO, engineer, and operator knows too well. A robot in the lab might pick, place, and navigate flawlessly. But bring that same system into the real world—with messy environments, unpredictable humans, and a long tail of edge cases—and suddenly, everything breaks. This is the deployment dilemma: ✅ Controlled demos prove what’s possible ❌ Real-world variability tests what’s practical In our latest blog, “Generative AI for Robotics: From Demos to Deployment,” Dr. Ashutosh Saxena explores how generative AI can bridge this gap—but only when it’s: • Built to run reliably at the edge • Designed with interpretability and modularity • Capable of learning from limited data We explain why most consumer-facing AI falls short, why monolithic models like RT-2 struggle in the field, and how TorqueAGI is building trusted generative AI for robotic systems that must perform under pressure. 👉 Read the full article: https://lnkd.in/gyEPwBs9 #Robotics #GenerativeAI #EdgeAI #Forwarddeploy #TorqueAGI #IndustrialAutomation #PhysicalAI