SOURCE-LINKED INTELLIGENCE
Legislating World-Model-Based Planning with Legal Reasoning
As robotic systems grow more general, legal norms are needed to integrate them into society. This paper extends the isomorphism problem of aligning legal source texts with their encodings, and measures two key challenges to robot normative control: (1) the grounding isomorphism gap, where perception error grounds false atoms for legal reasoning, and (2) the ontological isomorphism gap, where one legal conclusion admits many faithful translations into planning constraints. The paper introduces a legal planning stack that employs Defeasible Deontic Logic (DDL) to constrain a motion planner. The
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Evidence & attribution
- arXiv · AI, language, vision and robotics · 2026-09-14T06:45:58.000Z
First collected: 2026-09-20T11:41:07.830Z. This is not the publication date.