Event
Mino robot's first outdoor test of ROS 2 following application
2 reports · 1 sources
The Mino robot completed its first outdoor autonomous walking test, testing its ROS 2-based following application. The application runs on a Jetson Orin Nano and has three states: finding a person, following a person, and accompanying a person: it uses YOLO-World to detect pedestrians, uses stereo vision depth estimation to generate 3D bounding boxes, then combines Kalman filter tracking and continuously recalculates trajectories, sending head pose and chassis velocity commands to custom hardware. The developer says the application, with the help of open-source modules such as depth estimation, person detection and tracking, pose feedback, odometry, and motion control, had its behavior logic assembled by a programming agent within a weekend. Whether the application's source code will be released with the robot depends on the Kickstarter crowdfunding result: the developer says that if the crowdfunding succeeds, it will be released as open source with the robot.
Report timeline
- Mino's ROS 2-based companion behavior explained: three states of finding, following, and accompanying
Mino's companion behavior application is implemented on the Jetson Orin Nano based on ROS 2, with three states: finding a person, following, and accompanying; the video is its first outdoor test. The application uses open-source modules such as depth estimation, YOLO-World person detection and tracking, pose feedback, odometry, and motion control, and a coding agent assembled the behavior logic within a weekend. The robot perceives the person by 3D position and velocity, smooths the trajectory with a Kalman filter, and continuously sends head pose and chassis velocity commands to custom hardware.
Reddit r/robotics ·
- Mino robot takes its first autonomous outdoor stroll: ROS 2-based following app tested
The Mino robot completed its first outdoor autonomous stroll test. Its ROS 2-based following app runs on a Jetson Orin Nano and has three states: finding people, following people, and companionship. The app uses YOLO-World to detect pedestrians and stereo vision depth estimation to generate 3D bounding boxes, combined with Kalman filter tracking, and continuously recomputes trajectories to control the base and head. The app was completed over a weekend using open-source software modules and a coding agent, and will be released as open source with the robot if the Kickstarter crowdfunding campaign succeeds.
Reddit r/robotics ·