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Program a robot dog with an AI assistant: Anthropic's Project Fetch experiment

Anthropic split eight staff without robotics experience into two teams to program a quadruped robot to fetch a ball; the team using Claude finished more tasks and, on shared tasks, took about half the time.

The problem

How it works

Anthropic's Frontier Red Team ran a one-day experiment with two randomly assigned teams of four. Both had to get a robot dog to fetch a beach ball in three stages: first with the maker's controller, then by connecting laptops to the robot's sensors and writing their own control software, and finally by building a program that finds and fetches the ball on its own. One team could use Claude; the other could not.

Results and limitations

As vendor research claims, Anthropic reports that the team with Claude completed seven of eight tasks against six, finished shared tasks in about half the time and wrote roughly nine times more code. It was strongest at connecting to the hardware and detecting the ball; the team without Claude was faster at some manual control steps. Only the Claude team got close to autonomous fetching, though its robot was not precise enough to finish.

Before you try it

This is one small experiment with two teams of volunteer Anthropic staff who use Claude daily, run over a single day on tasks the authors call practically trivial, so it is not a general productivity estimate. The post names Claude but not the product or model version. If you try something similar, start with the robot's own safety limits, test new control code at low speed in a clear space with a stop control in reach, and keep people away from moving hardware. Results depend on your setup and were not independently reproduced by Top 200 Repos.

Tools and repositories

No ranked repository is involved. This use case still stands on its own source.

Tools
Claude · A programmable robot with an official SDK · A laptop connected to the robot
Prerequisites
A robot with a documented programming interface and a safe, clear test area.

Try it yourself: Plan safe first steps with a programmable robot

Fill the fields to adapt the prompt. Empty fields stay as visible [placeholders].

Preview
I have a [Robot and model] and want it to [What it should do]. I have no robotics background. Using the maker's official SDK and documentation only, help me plan the work in small stages: connect and read sensor data, then send slow test movements, then add [Next capability]. For each stage give the code, how to test it with the robot at low speed in a clear area, and how to stop it immediately. Do not suggest disabling built-in safety limits or flashing unofficial firmware. Point out anything you are unsure about in the SDK so I can check it in the documentation first.

Keep a physical or software stop within reach whenever new code runs.

Sources

  1. Project Fetch: Can Claude train a robot dog? (opens in a new tab)

    Vendor post · anthropic.com · Published 12 Nov 2025 · Source checked 12 Nov 2026, 03:31 UTC

    What this source supports
    • Eight researchers without robotics experience were split into two teams of four, one with Claude and one without
    • Three phases: manual control, connecting to the robot and its sensors with custom software, then autonomous fetching
    • Team Claude completed 7 of 8 tasks against 6 of 8 and took about half the time on shared tasks
    • Team Claude wrote about nine times more code; only it made substantial progress toward autonomous retrieval
    • Limitations: one experiment, small convenience sample of heavy Claude users, a single day of simple tasks
Report a problem

Reported by source

Give Claude your Google Calendar and Gmail through a self-run MCP server

The open-source Google Workspace MCP server exposes Calendar, Gmail and other Workspace tools to Claude Desktop, Claude Code and other MCP clients, using your own OAuth client and optional read-only mode.

github.com
Reported by source

Let an assistant test QA tickets in a browser via Playwright MCP

Peter Eysermans connected Claude Desktop to Playwright and GitHub MCP servers so it could walk through features from tickets, report results and draft reusable tests.

madewithlove.com · 22 Jul 2025microsoft/playwright
Reported by source

Answer technical questions by letting async agents run experiments

Simon Willison sends research questions to cloud coding agents such as Claude Code for web and Codex Cloud, which write and run experiments in a dedicated repo and open a PR.

simonwillison.net · 6 Nov 2025anthropics/claude-code, openai/codex
Reported by source

Build a cited Q&A knowledge base over your own documents

Self-host RAGFlow, upload PDFs, Office files and scans, and ask questions that come back with traceable source chunks.

github.cominfiniflow/ragflow
Reported by source

Evolve faster algorithms with AlphaEvolve and automated evaluators

Google DeepMind's AlphaEvolve pairs Gemini models with automatic scoring to evolve code, and reports gains in data-centre scheduling, AI kernels and open maths problems.

deepmind.google · 14 May 2025
Reported by source

Let a coding agent run overnight ML training experiments

Point a coding agent at autoresearch so it edits a small GPT training script, runs short timed experiments and keeps what improves.

github.comkarpathy/autoresearch, anthropics/claude-code, openai/codex