WendyOS Physical AI & Robotics
Build, deploy, and monitor containerized Physical AI applications across edge devices, robotics platforms, and simulators.
WendyOS is a specialized Physical AI harness designed for robotics and edge computing that streamlines building, testing, and deploying containerized applications. It provides seamless management across edge hardware such as NVIDIA Jetson, Raspberry Pi, and Qualcomm Dragonwing, as well as MuJoCo and local VM simulators. With comprehensive workflows for ROS 2 robot profiles, sensor recording campaigns, runtime telemetry, and model training orchestration, this skill enables developers to validate, monitor, and debug edge applications directly from Claude Code.
Key Features
0198 GitHub stars
02Simulate robot profiles such as Unitree Go2, G1, and ROSMaster using MuJoCo and local VMs
03Automate ROS 2 application lifecycles, health verification, and training job execution
04Deploy containerized workloads to NVIDIA Jetson, Raspberry Pi, x86, and Qualcomm devices
05Configure Wendy Data campaigns for sensor recording, camera event detection, and episode retrieval
06Manage device operations including discovery, WiFi configuration, agent updates, and remote logs
Use Cases
01Deploying and verifying ROS 2 robotics applications on physical robots or virtual machine simulators
02Configuring automated sensor recording and computer vision detection campaigns on edge devices
03Provisioning, updating, and debugging distributed edge AI hardware fleets