Temporal Planning

Latest papers

8 papers1 paper in the last four weeks, against 2 the four weeks before. 0.0% of all new papers.

DualWorldBench: Can Agents Plan Deliveries across Symbolic and Grounded Worlds?
Nov 3, 2026Yang Chen, Bin Wen, Danyang Peng +3Temporal Planning Embodied Agent Benchmarks
National Key Laboratory for Novel Software Technology, Nanjing University · School of Intelligence Science and Technology, Nanjing University · Shanghai Innovation Institute +1
Kairos: Semantics-Aware Orchestration of Planning Engines across Classical, Numeric, Temporal and Hybrid PDDL
Oct 29, 2026Francisco Martín Rico, Esther Aguado González, Francisco Miguel Moreno Olivo +3Temporal Planning Symbolic Planning
Intelligent Robotics Lab, Universidad Rey Juan Carlos, Spain · Robotics Group, Universidad de León, Spain
Optimal Planning in a Dynamic World
Oct 2, 2026Devin Wild Thomas, Solomon Eyal Shimony, Wheeler Ruml +3Temporal Planning Safe Interval Path Planning
University of New Hampshire, USA · Ben-Gurion University of the Negev, Israel · Technion - Israel Institute of Technology, Israel +3
Conditional Timed Partial Orders: An Expressive and Interpretable Framework for Robot Task Specification and Planning
Sep 7, 2026Sebastian Escobar, Morteza LahijanianRobot Task Planning Task Decomposition
Aerospace Eng. Sci. Dept. at University of Colorado Boulder, CO, USA
A Temporal Planning Approach for Intelligent Flood Response
Aug 20, 2026Fazlul Hasan Siddiqui, Md. Monjurul Islam, Sabah Binte NoorTemporal Planning Disaster Response
Department of Computer Science and Engineering, Dhaka University of Engineering & Technology, Gazipur, 1707, Bangladesh · Department of Computer Science and Engineering, Bangladesh Army University of Engineering & Technology, Natore, 6431, Bangladesh
A Temporal Planning Framework for Disruption Aware Dynamic Route Optimization in Heterogeneous Railway Systems
Jun 12, 2026Pollob Chandra Ray, Sabah Binte Noor, Fazlul Hasan SiddiquiIntelligent Transportation Systems Temporal Planning
Department of Computer Science and Engineering, Dhaka University of Engineering & Technology, Gazipur, 1707, Bangladesh.
Compiling Temporal Numeric Planning into Discrete PDDL+: Extended Version
Mar 12, 2026Andrea Micheli, Enrico Scala, Alessandro ValentiniTemporal Planning
Fondazione Bruno Kessler, Trento, Italy · University of Brescia, Italy
Unified Learning of Temporal Task Structure and Action Timing for Bimanual Robot Manipulation
Mar 6, 2026Christian Dreher, Patrick Dormanns, Andre Meixner +1Bimanual Robotic Manipulation Temporal Reasoning
Institute for Anthropomatics and Robotics, Karlsruhe Institute of Technology, Karlsruhe, Germany

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DualWorldBench: Can Agents Plan Deliveries across Symbolic and Grounded Worlds?

Yang Chen, Bin Wen, Danyang Peng, Hong-Jie You+2

National Key Laboratory for Novel Software Technology, Nanjing University · School of Intelligence Science and Technology, Nanjing University · Shanghai Innovation Institute+1

Temporal Planning Embodied Agent Benchmarks Multimodal Agent Evaluation Multimodal Spatial Reasoning

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Recent multimodal agents have shown promising progress in embodied planning and web interaction. However, existing evaluations often rely on simplified tasks with limited combinatorial structure, leaving it unclear whether current agents can robustly integrate perception and reasoning for multi-goal planning under temporal, physical, and multimodal constraints. We introduce DualWorldBench, a unified benchmark for evaluating agent planning under controlled symbolic--temporal and grounded--topological complexity. Built around a shared pickup--delivery interface, DualWorldBench consists of three complementary components: TextWorld, which isolates symbolic planning under varying task compositions and release dynamics; SimWorld, which evaluates grounded path planning under controlled topological variation with text, image, or multimodal inputs; and DualWorld-VQA, a diagnostic suite spanning perception, scene understanding, and planning. Experiments reveal a common gap between local understanding and globally consistent planning. In TextWorld, agents struggle to derive optimal task sequences under interacting temporal constraints; in SimWorld, grounded observations are not reliably converted into feasible action sequences. DualWorld-VQA further confirms that perception and topology understanding do not necessarily translate into constrained planning. Together, these results identify the central challenge as composing symbolic or grounded evidence into globally feasible and efficient multi-goal plans. These findings establish DualWorldBench as a challenging testbed for agents with tighter perception--reasoning--planning integration. All datasets and code are publicly available at our project website https://dualworld.netlify.app/.