Guide multimodal observation for spacecraft situational awareness. Use for perception-heavy tasks that combine image quality, segmentation, local inspection, and knowledge-base reasoning.
image_bright() if visibility is questionable, and use set_exposure() when brightness itself is the bottleneck.part_segmentation() when segmentation is exposed.image_zoom() when the target is centered but important details are too small to judge from the full frame.image_crop() when you need a local view of a specific region such as an antenna, docking port, solar panel root, or damaged area.[Sensor] LiDAR block shows data and geometry is still ambiguous, use it as an additional structural cue.knowledge_base() after enough visual evidence exists to connect observed structure to type and function.Use set_attitude() when a different angle is needed to disambiguate spacecraft status or components.
Use image_zoom() or image_crop() before changing viewpoint when the needed evidence is already visible but too small in the current image.
Do not loop on perception tools after the answer is already well-supported. Prefer the currently exposed visual tools first, and terminate once the evidence is sufficient.