🌟 I just watched @StrikeRobot_ai’s latest demo video again, and it’s truly impressive.

🔹 SR Agentic is rolling out a significant upgrade. It has gone beyond simply detecting workers wearing a full set of protective gear—now it can accurately identify targets in complex, crowded environments, continuously lock onto them and track their movement paths, predict their next move, and issue real-time alerts at critical moments.
👉 The entire “perception → understanding → decision → action” closed loop has become extremely smooth and natural, like a seamless integrated intelligent process—not the awkwardly stitched-together steps from early demos. It’s even closer to a real on-site operator who can work independently in high-risk areas without needing constant manual remote intervention.
🔹 What’s especially worth paying attention to is the timing. Its partner Reppo @reppo recently received a $20 million funding commitment to address the training data bottleneck. High-quality data infrastructure is the key to enabling rapid iteration for physical AI agents.
When real-time embodied intelligence is deeply integrated with on-chain data infrastructure, the Physical AI + robot metaverse that @virtuals_io is building shows tremendous promise for development.
🔉 After keeping a long-term focus on the field of humanoid robots, I believe Strike Robot @StrikeRobot_ai is one of the few projects that truly demonstrates reproducible, practical progress—and is steadily moving toward useful autonomy.
It’s not showcasing promotional videos, but real, deployable agent behavior. I remain firmly optimistic about the long-term value of $SR . Epoch 2 is worth looking forward to.