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Plan with a small world-model search before acting. Use for world_model planner calls that must compare exactly three candidate actions and pick the best one in JSON.
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Basierend auf der SOC-Berufsklassifikation
Fly around a visible target and station directly above it at a safe distance. Use for reposition tasks that must end overhead of the target rather than in front of it.
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Image-first laboratory navigation policy for ground-robot experiments. Use when the task must be solved with raw current images, conservative motion, and no oracle geometry.
Recover a temporarily lost target in the laboratory with bounded planar search and no blind forward motion.
Safely approach a visible laboratory satellite target and stop in a conservative near-front hold using only current images and motion tools.
Diagnose the laboratory target from raw image evidence, conservative viewpoint changes, and optional code support.
| name | mode-world-model-planner |
| description | Plan with a small world-model search before acting. Use for world_model planner calls that must compare exactly three candidate actions and pick the best one in JSON. |
Before executing any action:
Return JSON only:
{
"candidates": [
{
"action": "tool_name",
"args": {"arg": "value"},
"predicted_outcome": "brief description",
"risk": "low|medium|high",
"score": 1
}
],
"selected": 0,
"reasoning": "Why this candidate is best"
}