TommyZihao/vlm_arm resource

Health v2 · maintenance only

Flags: no_releases no_license

Adoption not part of the score

1274 stars · 202 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

A tutorial project connecting a Mycobot 280 Pi robotic arm to multimodal large language models (GPT-4o, Claude 3, Yi-Vision, Qwen-VL) to build a human-robot collaborative embodied AI agent. It includes Jupyter Notebook code, setup guides, and demo videos for voice, vision, and arm control integration.

Use cases

• control a robotic arm with natural language commands
• build an embodied AI agent with a robot arm and LLM
• use GPT-4o vision to locate objects for a robot arm
• learn to integrate multimodal LLMs with robotics
• voice-controlled robotic arm project
• teach embodied AI with a Mycobot arm

When to choose

• you own a Mycobot 280 Pi or similar hobby robot arm and want LLM control
• you want a hands-on tutorial for embodied AI with multimodal models
• you follow Chinese-language AI tutorials and video courses

When to avoid

• you need production-grade industrial robot control software
• you don't have the specific hardware (Mycobot arm, Raspberry Pi, camera, microphone)
• you need a supported, licensed library rather than an educational demo

Facets

learning-resource · maturity active

agent-framework machine-learning computer-vision speech-recognition robotics llm-inference robotics artificial-intelligence computer-vision python embedded iot robotic-arm embodied-ai multimodal mycobot raspberry-pi human-robot-collaboration tutorial jupyter-notebook ai-agents natural-language-processing linux

Member repositories

For agents

markdown · JSON · MCP: product_card(name="TommyZihao/vlm_arm")