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Kairos system orchestrates multiple AI planning engines for diverse PDDL tasks

By PulseAugur Editorial · [1 sources] ·

Researchers have developed Kairos, a novel system designed to orchestrate multiple AI planning engines for enhanced performance across various PDDL (Planning Domain Definition Language) types. Kairos analyzes task semantics to select the most appropriate engine from a pool of five, including those for classical, numeric, temporal, and hybrid PDDL. This approach allows Kairos to solve more tasks at full limits than specialized planners, particularly excelling in numeric, temporal, and PDDL+ planning, while also demonstrating broad coverage of PDDL features. AI

IMPACT Enhances AI planning capabilities by enabling more efficient and comprehensive task execution across diverse PDDL specifications.

RANK_REASON The cluster describes a research paper detailing a new system for AI planning. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.AI →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

Kairos system orchestrates multiple AI planning engines for diverse PDDL tasks

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The cluster describes a research paper detailing a new system for AI planning. [lever_c_demoted from research: ic=1 ai=1.0]
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COVERAGE [1]

  1. arXiv cs.AI TIER_1 English(EN) · Francisco Mart\'in Rico, Esther Aguado Gonz\'alez, Francisco Miguel Moreno Olivo, Rodrigo P\'erez Rodr\'iguez, Jos\'e Miguel Guerrero Hern\'andez, Francisco J. Rodr\'iguez Lera ·

    Kairos: Semantics-Aware Orchestration of Planning Engines across Classical, Numeric, Temporal and Hybrid PDDL

    arXiv:2610.39454v1 Announce Type: new Abstract: Planning at run time, as in robots that re-plan while they act, needs a planner that reads the PDDL its users write (durative actions, numeric resources, time windows, continuous change), answers quickly, and delivers only validated…

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