Making Task Abstractions Executable: Control-Aware Layout Repair for a Fixed Controller
A task abstraction can specify the intended events while its spatial layout prevents a fixed agent and controller from completing them.
ProofPaper ↗
Key points
- Starting from a supplied structured task record, we compile whole-task tracking, clearance, and actuation requirements into auditable affine layout constraints.
- We repair only declared continuous coordinates, preserving event order, timing, topology, and the controller.
- A most-violated-row update admits conditional finite-certification and net-displacement bounds; a same-compiler quadratic projection separates the representation from the optimizer.
- A risk-target sweep also exposes fixed event tests that the chosen certificate cannot satisfy through layout edits alone.
Sources (1)
- [1]Making Task Abstractions Executable: Control-Aware Layout Repair for a Fixed ControllerarXiv (AI, ML, NLP, CV, robotics, multi-agent) · Oct 7, 03:45 PM
A task abstraction can specify the intended events while its spatial layout prevents a fixed agent and controller from completing them.
Starting from a supplied structured task record, we compile whole-task tracking, clearance, and actuation requirements into auditable affine layout constraints.
Extractive summary: sentences quoted from the sources.