PDDL - Edgentiq

Frontier AI Models Show Advanced Planning Skills, Rivaling Specialized Planners in 2025

Coordinating Robot Teams with Natural Language: A Hierarchical Planning Approach

Simplifying AI Planning: How Large Language Models Create Abstract Domains

Simplifying PDDL Axioms: A Method to Eliminate Negative Derived Predicates

Bridging Vision and Formal Logic for Autonomous AI Planning

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PDDL-INSTRUCT: Enhancing LLMs for Precise Symbolic Planning

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Empowering Language Models with Advanced Planning Capabilities

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Automating AI Planning from Engineering Models for Production System Validation

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Language Models Crafting Sound Policies for Automated Planning

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Enhancing AI Planning: A New Method for Generating Robust Generalized Plans with Large Language Models

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Adaptive Planning for Autonomous Drones: The AMAD-SRL Approach

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Efficient AI Planning for Large-Scale Drone Missions with Sparse Graph Networks

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Large Language Models in Robotics: A Benchmark Study on Planning Capabilities

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Bridging Open and Closed Worlds: A New Approach to Automated Planning with Ontologies

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Unlocking LLM Potential: How NL2FLOW Revolutionizes AI Planning and Evaluation

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Gen AI News and Updates

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Frontier AI Models Show Advanced Planning Skills, Rivaling Specialized Planners in 2025

November 14, 2025

Coordinating Robot Teams with Natural Language: A Hierarchical Planning Approach

October 28, 2025

Simplifying AI Planning: How Large Language Models Create Abstract Domains

October 24, 2025