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Amazon didn’t buy Fauna Robotics for the robot. It bought the tooling to build one. The Sprout — a 107cm, 22.7kg bipedal humanoid with a sage-green foam shell — shipped its Creator Edition in January 2026 at $50,000 a pop. Two months later, Amazon acquired the entire company. Disney and Hyundai were already customers.

The Hardware

29 degrees of freedom. 6-DOF arms with floor-to-countertop reach, 5-DOF compliant legs, 2-DOF expressive neck. NVIDIA Jetson AGX Orin with 64GB handles perception and planning. ZED 2i stereo vision, four time-of-flight sensors, a four-mic array for sound localization, and a 360-degree facial LED array with motorized eyebrows. It walks, kneels, crawls, sits, dances the Floss — all pre-trained locomotion policies, ready out of the box. It won’t carry your groceries, but it’ll pick up a teddy bear and take a stroll across your living room.

The Developer Stack

This is where Amazon saw the value. Full ROS 2 SDK in Python and C++, with every component isolated in Docker containers you can deploy, swap, or kill independently. But the real play: Sprout runs a Model Context Protocol (MCP) server. That means any LLM-based agent can call into the robot’s tools directly — navigation, manipulation, speech, telemetry — through structured agentic interfaces. Foxglove-based web visualization for real-time debugging. Structured logging pipeline syncing telemetry, events, and sensor streams. VR teleoperation via Meta Quest for imitation learning data collection at 30Hz stereo RGB + 125Hz joint states. Deepgram and ElevenLabs for speech, with NVIDIA Riva as a local fallback. IsaacSim integration for sim-to-real RL training. If you’ve been watching the humanoid developer platform race, Sprout is the first one where your AI agent can control a physical body through MCP — no custom integration needed.

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