Process

Perception

You might say: computer vision, seeing

A software pipeline that turns sensor measurements such as images and depth into scene structure, objects, and poses.

What it does

Supplies state estimation and planning with observations rather than certainty.

Ask

What scenes, lighting, latency, and failure cases were tested?

What to look for

1. Images or depth becoming scene structure
2. Objects and poses in the output
3. Observations passed to estimation and planning

Parts

• Object detection and segmentation: An image model predicts object classes and locations; segmentation predicts the pixels belonging to each object.
• Object pose estimation: 6D pose estimation finds an object's 3D position and orientation from image or depth data, often using a known object model.
• Point cloud processing: Point-cloud processing filters, downsamples, segments, and registers 3D points into a common frame.

Sources

1. Bruno Siciliano and Oussama Khatib (eds.), Springer Handbook of Robotics, Ch. 5, Robot PerceptionPerception, which is defined here to be task-oriented interpretation of sensor data, allows the integration of sensor information across space and time to facilitate planning.

Use it on your project

teardown-apply: hold "Perception" (perception) from the teardown at https://teardownatlas.com/robotics/ against my project

Paste it into a coding agent that has the teardown skills.

An AI agent wrote this map with the teardown skill. It can contain errors: check the sources before you rely on a part. About and legal