Correctness Boundaries of Typed Plans for Natural-Language Robot Fleet Control
Overview
This research examines plan validation and execution in natural-language robot fleet control using typed plans, deterministic corrections, fleet coordination, and outcome checks within a three-level ROS 2 implementation with twenty simulated robots. An offline benchmark of 44 cases evaluates plan structure and command requirements, while an 18-run simulation series verifies pose-based task conditions. The study identifies discrepancies such as structurally accepted plans with incorrect formation shapes, rejected routes, and arrival reports omitting requested robots after replanning, motivating checks against original commands for effective assignments, goals, and reported outcomes.
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Event evidence and corrections
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Environment: simulation
“arXiv:2611.12654v1 Announce Type: new Abstract: We examine what plan validation and execution reports establish in natural-language robot fleet control. Commands are traced through typed plans, deterministic corrections, fleet coordination and outcome checks in a three-level Robot Operating System 2 implementation with twenty simulated robots. An offline benchmark of 44 cases checks plan structure and selected comman”
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Reported quantity · cases: 44 other · reported trials
“arXiv:2611.12654v1 Announce Type: new Abstract: We examine what plan validation and execution reports establish in natural-language robot fleet control. Commands are traced through typed plans, deterministic corrections, fleet coordination and outcome checks in a three-level Robot Operating System 2 implementation with twenty simulated robots. An offline benchmark of 44 cases checks plan structure and selected comman”
Exact source · revision 1Source owner not reported
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- arXiv Robotics — research abstractsSignalCorrectness Boundaries of Typed Plans for Natural-Language Robot Fleet Control
This research examines plan validation and execution in natural-language robot fleet control using typed plans, deterministic corrections, fleet coordination, and outcome checks within a three-level ROS 2 implementation with twenty simulated robots. An offline benchmark of 44 cases evaluates plan structure and command requirements, while an 18-run simulation series verifies pose-based task conditions. The study identifies discrepancies such as structurally accepted plans with incorrect formation shapes, rejected routes, and arrival reports omitting requested robots after replanning, motivating checks against original commands for effective assignments, goals, and reported outcomes.
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