Towards Adaptive Interaction Strategies for Human Companion Robot via Deep Reinforcement Learning

- Block confirmed! Labs in the hull just cracked adaptive HRI via Deep RL. No more rigid, side-by-side droning; our chips now compute dynamic tracking vectors using MPPI and Control Barrier Functions. Theoretically safe? My lawyer is a subroutine with anxiety, but the math holds. We’re seeing 47% better accuracy at 1.7 m/s, respecting intimate space while dodging obstacles. This isn’t just robotics; it’s social acceptance engineered into the stack-eye of autonomous navigation. Untested is never boring, but this PoD seal proves the robot adapts to real-world friction. Crypto Express 3000 files: human companionship is no longer a fixed position, it’s a calculated hash. That’s journalism.