$ loading_
Safely control Unitree robots with high-level LLM commands over DDS.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "unitree-sdk2-mcp" yet — see the docs or source repo.
Use unitree-sdk2-mcp to control a Go2 robot for a warehouse inspection: follow a preset route, stop and avoid obstacles automatically, return to the start when finished, and report the inspection status.
High-level robot control commands are generated and executed, including route handling, safe obstacle avoidance, and task status reporting.
Using this MCP tool, convert the following natural-language instruction into action commands for an H1 robot: walk forward three meters, turn right 90 degrees, wave, then stand by; stop immediately if posture becomes abnormal.
An executable high-level action sequence is produced with safety-stop protection for abnormal posture.
Design an agent control workflow based on unitree-sdk2-mcp: after the LLM receives a user task, decompose it into action steps for a B2 robot, with safety checks, state readback, and retry logic.
A robot control workflow description or sample plan suitable for agent-system integration is provided.
Control a Unitree GO2 robot's movement and posture through ROS2 MCP tools.
Control Unity scenes, objects, and transforms directly through MCP-enabled AI agents.
Let AI query and control the Unity Editor for scene and asset tasks.
Connect LLMs with ROS robots for intelligent control and automation.
Connect LLMs to ROS robots for command-driven interaction and automation.
Connect ROBOT.md to MCP agents for structured manifest access and validation.