MultiUAV-Plat supplies a new RESTful simulation platform and 1500-task benchmark where Agent4Drone reaches 57.9% task pass rate versus 30.6% for ReAct baseline across 75 multi-UAV missions.
DART-LLM: Dependency- Aware Multi-Robot Task Decomposition and Execution using Large Language Models
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CADENZA introduces TxRA algebra and logical/physical planners to compile intents into optimized task DAGs, reporting up to 0.49 quality, 165.7x latency, and 310.3x cost gains on SemBench versus prior SQPE optimizers.
Presents a verification-gated agentic mission-state governance framework using synchronized task forests and blackboards with deterministic verification before any state commits in multi-robot systems.
A survey that categorizes LLM uses in multi-robot systems across task allocation, motion planning, action generation, and human interaction, while noting challenges and future research opportunities.
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CADENZA: Compiling Natural-Language Intent into Task-Specific Operator DAGs for Semantic Query Processing
CADENZA introduces TxRA algebra and logical/physical planners to compile intents into optimized task DAGs, reporting up to 0.49 quality, 165.7x latency, and 310.3x cost gains on SemBench versus prior SQPE optimizers.