Using LLM for Robotics Control: A Step‑by‑Step Guide

说明与用途

LLM 生成 2D 机器人动作列表，执行自然语言命令，包含安全检查，可将模拟器替换为 ROS2。

问题

Translate natural‑language robot commands into discrete actions while ensuring safety and correctness in a simulated 2D pick‑and‑place environment.

结果

The LLM generates a valid action list that the simulator executes safely, demonstrating a complete natural‑language control loop that can be ported to ROS2.

工作流

• Connect to Oxlo.ai and verify client
• Define world and action space
• Write system prompt to constrain actions
• Build planner to format state and user command
• Execute actions with safety validation
• Run full script and observe output

证据

First, I initialize the OpenAI-compatible client pointing at Oxlo.ai and make a quick sanity call.

来源

The system prompt grounds the model in the robot's valid actions and forces it to output one command per line.

来源

Example output: MOVE_TO 7 2 GRIP MOVE_TO 5 9 RELEASE

来源