Author

George J. Pappas

2 papers indexed here

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Preprint Oct 2026

Persistent LLM Orchestration of Heterogeneous Robot Teams via Partial Delegation to Multi-Agent Protocols

Natural language specifications let non-expert users task robot teams, and large language models (LLMs) have recently proven effective at grounding such semantic specifications into plans for heterogeneous teams. Existing approaches assume missions that terminate and environments that, while unknown, do not change, but...

Maria G. Mendoza, V. Tuck, Zachary Ravichandran et al. · 0 citations

#artificial intelligence Preprint Sep 2026

Actively Resolving Contextual Uncertainty for Underspecified Tasks in Natural Language

Closed-Loop contextual Uncertainty rEsolution (Closed-Loop contextual Uncertainty rEsolution), a framework for actively resolving contextual uncertainty given underspecified tasks in natural language, is presented.

Zachary Ravichandran, Jonathan Diller, Fernando Cladera et al. · 0 citations