DevOps & Infrastructure
Robot Perception
Comprehensive best practices for robot perception systems covering cameras, LiDARs, depth sensors, IMUs, and multi-sensor setups. Use this skill when working with RGB image processing, depth maps, point clouds, sensor calibration (intrinsic, extrinsic, hand-eye), object detection, semantic segmentation, 3D reconstruction, visual servoing, or perception pipeline optimization. Trigger whenever the user mentions OpenCV, Open3D, PCL, RealSense, ZED, OAK-D, camera calibration, AprilTags, ArUco markers, stereo vision, RGBD, point cloud filtering, ICP registration, coordinate transforms, camera intrinsics, distortion correction, image undistortion, sensor streaming, frame synchronization, or any computer vision task in a robotics context. Also covers multi-camera rigs, time synchronization across sensors, perception latency budgets, and production deployment of perception pipelines.
- Publisher / source
- Robotics Skills
- Upstream record
- arpitg1304/robotics-agent-skills
- Version
- Version 2
- Published
- Publication review
- Approved for publication
- Content fingerprint
3e6bc70bdeb9ff36a31d6b63991285954ab5bd2ff2289e836d98fc55f0bae574