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  3. Ranger Duck
iverson930gabout 10 hours agoContributorJudging locked: Event build

Ranger Duck

Ranger Duck is a robot prototype built with Pollen Robotics’ simulator and MuJoCo physics engine, using real animal videos to train AI agents to respond naturally, interact with animals, observe wildlife over time, and engage with pets while tracking their activities.

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Project description
What We BuiltMicroDuck uses real-world animal videos to guide a simulated robot’s responses, combining video search, playback, agent-driven actions, and physics simulation. We ingested three Hugging Face datasets totaling X minutes of video. Why It MattersRobot training needs diverse interaction data. MicroDuck explores using animal videos as behavioral references for embodied AI. Potential applications include long-term, close-range wildlife observation and pet companionship. How It WorksEncounter Mode: Retrieve an interaction video, use one animal’s behavior as the situation and the other’s as a response reference, then execute MicroDuck’s closest supported action.Loop Mode: Turn each completed action into the next search prompt and repeat.The agent harness coordinates retrieval, interpretation, action selection, and execution feedback, using existing pretrained movement policies to explore future training workflows. Technology
Tools used
  • VAST Data logoVAST Data
  • CoreWeave (Weights & Biases) logoCoreWeave (Weights & Biases)
  • NVIDIA logoNVIDIA
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Project gallery
Simulation:
Pollen Robotics’ MicroDuck simulator, MuJoCo WebAssembly physics, Three.js rendering, and ONNX Runtime Web movement policies.
Agent and evaluation:
Codex with MCP search tools; Weights & Biases for tracing and evaluation.
Video infrastructure:
VSS, VastDB, and S3 for searchable clips, captions, metadata, detections, and playback; VAST DataEngine with Cosmos3-Reason, YOLO11, and Cosmos Embed1 for descriptions, detections, and embeddings.
Application:
React and TypeScript frontend with a Python FastAPI backend.
Project links
  • GitHub repository
  • Project website
  • Demo video
Tools used
  • VAST Data logoVAST Data
  • CoreWeave (Weights & Biases) logoCoreWeave (Weights & Biases)
  • NVIDIA logoNVIDIA