RoboStore
Built at Nebius.Build SF · Mar 15, 2026 · San Francisco, CA
RoboStore is a self-expanding robot agent platform that enables robots to autonomously detect their own capability gaps, search for hardware solutions in real-time, and auto-generate integration code—all without human intervention. When a robot encounters a task it cannot complete, it uses large language models to analyze what's missing, searches an intelligent marketplace of 20+ real hardware modules (pulling from Adafruit API), selects compatible components, and generates production-ready YAML skill files with ROS2 packages, installation instructions, and agent tooling. The robot then installs the new capability and retries the task. At the core of RoboStore is an OpenClaw orchestrator that coordinates three specialized AI agents running in parallel: SCOUT (Qwen2-VL-72B for continuous vision), PLANNER (Qwen3-235B for multi-step reasoning), and SAFETY (MuJoCo physics rollouts for risk assessment). Unlike traditional sequential "sense-think-act" architectures, OpenClaw enables these agents to run concurrently—the scout continuously watches, the planner thinks ahead, and the safety agent validates actions before execution. Actions fire only when both PLANNER and SAFETY approve, creating a robust decision pipeline.