LLM Agent Planning

LLM: Large Language Model

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22 papers in the last four weeks, up 175% on the four weeks before. 0.2% of all new papers.

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Latest papers 144

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PEACE: A Planner-Executor Agent with Constraint Enforcement for UAVs
May 26, 2026Erdem Uysal, Timo Kehrer, Sebastiano PanichellaLarge Language Model-Based Robot Planning Robot Foundation Models
Institute of Computer Science, University of Bern, 3012 Bern, Switzerland
Towards Feedback-to-Plan Decisions for Self-Evolving LLM Agents in CUDA Kernel Generation
May 26, 2026Yee Hin Chong, Jiaming Wu, Youhui Zhang +1GPU Kernel Optimization LLM Agent Evaluation
Department of Computer Science and Technology, Tsinghua University, Beijing, China · Beijing National Research Center for Information Science and Technology, Beijing, China
AutoDFT: A Closed-Loop Multi-Agent Framework for Autonomous DFT Calculations
May 25, 2026Penghui Yang, Zhonghan Zhang, Yue Li +6Multi-Agent LLM Systems Scientific Workflow Automation
Nanyang Technological University, Singapore · Singapore Management University
Co-ReAct: Rubrics as Step-Level Collaborators for ReAct Agents
May 22, 2026Jiazheng Kang, Bowen Zhang, Zixin Song +4Deep Research Agents Agentic Reasoning
Qwen Applications Business Group of Alibaba · Tsinghua University
When Planning Fails Despite Correct Execution: On Epistemic Calibration for LLM-Based Multi-Agent Systems
May 22, 2026Zehao Wang, Shilong Jin, Zhao Cao +1Multi-Agent LLM Systems Multi-Agent Planning
College of Intelligence and Computing, Tianjin University, Tianjin, China · School of New Media and Communication, Tianjin University, Tianjin, China · Gaoling School of Artificial Intelligence, Renmin University of China, Beijing, China
Molecular Lead Optimization via Agentic Tool Planning
May 21, 2026Lingxiao Li, Haobo Zhang, Ruohao Fan +2Molecular Optimization Large Language Model-Guided Optimization
University of Michigan Ann Arbor, Michigan, USA · Department of Biochemistry and Molecular Medicine University of California, Davis Davis, California, USA · Department of Pharmacology and Toxicology Michigan State University East Lansing, Michigan, USA
IdleSpec: Exploiting Idle Time via Speculative Planning for LLM Agents
May 21, 2026Daewon Choi, Kyunghyun Park, Woomin Song +4LLM Inference Efficiency Long-Horizon LLM Agents
1KAIST · 3Together AI · 2Amazon AGI
Efficient Agentic Reasoning Through Self-Regulated Simulative Planning
May 21, 2026Mingkai Deng, Jinyu Hou, Lara Sá Neves +4LLM Planning World Model-Based Planning
Carnegie Mellon University · Institute of Foundation Models (IFM)
Agent JIT Compilation for Latency-Optimizing Web Agent Planning and Scheduling
May 20, 2026Caleb Winston, Ron Yifeng Wang, Azalia Mirhoseini +1Computer-Use Agents LLM Agent Orchestration
Stanford University, Stanford, CA, USA.
Evaluating Temporal Semantic Caching and Workflow Optimization in Agentic Plan-Execute Pipelines
May 20, 2026Alimurtaza Mustafa Merchant, Krish Veera, Sajal Kumar Goyla +3LLM Agent Orchestration Agentic Workflows
Columbia University · IBM · IBM Research
From Prompts to Pavement Through Time: Temporal Grounding in Agentic Scene-to-Plan Reasoning
May 19, 2026Ahmed Y. Gado, Omar Y. Goba, Alaa Hassanein +2Spatiotemporal Reasoning Autonomous Driving Planning
Computer Science & Engineering Department, German University in Cairo (GUC), Egypt · C-DRiVeS Lab: Cognitive Driving Research in Vehicular Systems, Cairo, Egypt
STT-Arena: A More Realistic Environment for Tool-Using with Spatio-Temporal Dynamics
May 18, 2026Tingfeng Hui, Hao Xu, Pengyu Zhu +5Spatiotemporal Reasoning LLM Planning
Hong Kong Institute of AI for Science, City University of Hong Kong · Beijing University of Posts and Telecommunications · Li Auto Inc. +2
IFPV: An Integrated Multi-Agent Framework for Generative Operational Planning and High-Fidelity Plan Verification
May 14, 2026Zhigao Huang, Zhengqing Hu, Dong Chen +5Multi-Agent Planning LLM Agent Planning
School of Computer and Artificial Intelligence, Zhengzhou University, Zhengzhou, 450001, Henan, China · Engineering Research Center of Intelligent Swarm Systems, Ministry of Education, Zhengzhou, 450001, Henan, China · National Supercomputing Center in Zhengzhou, Zhengzhou, 450001, Henan, China +1
Web Agents Should Adopt the Plan-Then-Execute Paradigm
May 14, 2026Julien Piet, Annabella Chow, Yiwei Hou +5LLM Agent Safety LLM Agent Planning
UC Berkeley
SPIN: Structural LLM Planning via Iterative Navigation for Industrial Tasks
May 13, 2026Yusuke Ozaki, Dhaval PatelLLM Agent Workflow Optimization Tool-Use Planning
University at Albany · Kwansei Gakuin University · IBM, New York
MAP: A Map-then-Act Paradigm for Long-Horizon Interactive Agent Reasoning
May 13, 2026Yuxin Liu, Ziang Ye, Yueqing Sun +6LLM Agent Training Long-Horizon LLM Agents
University of Science and Technology of China · Meituan · Institution of Automation, Chinese Academy of Sciences +1
SHM-Agents: A Generalist-Specialist Integrated Agent System for Structural Health Monitoring
May 13, 2026Yuequan Bao, Xing Li, Huabin Sun +3LLM Agent Orchestration LLM Agents
Key Lab of Smart Prevention and Mitigation of Civil Engineering Disasters of the Ministry of Industry and Information Technology, Harbin Institute of Technology, Harbin · Key Lab of Structures Dynamic Behavior and Control of the Ministry of Education, Harbin Institute of Technology, Harbin · School of Civil Engineering, Harbin Institute of Technology, Harbin
AgentDisCo: Towards Disentanglement and Collaboration in Open-ended Deep Research Agents
May 12, 2026Jiarui Jin, Zexuan Yan, Shijian Wang +2Deep Research Agents Multi-Agent Collaboration
Xiaohongshu Inc.
Deep Reasoning in General Purpose Agents via Structured Meta-Cognition
May 12, 2026Dean Light, Michael Theologitis, Kshitish Ghate +7Structured Reasoning Agentic Reasoning
University of Washington Seattle, WA, USA
PIVOT: Bridging Planning and Execution in LLM Agents via Trajectory Refinement
May 11, 2026Tuo Zhang, Alin-Ionut Popa, Yan Xu +2LLM Agent Self-Improvement Long-Horizon LLM Agents
Amazon
MCP-Cosmos: World Model-Augmented Agents for Complex Task Execution in MCP Environments
May 9, 2026Giridhar Ganapavarapu, Dhaval PatelLLM World Models World Models
IBM, New York
Do Agents Need to Plan Step-by-Step? Rethinking Planning Horizon in Data-Centric Tool Calling
May 8, 2026Naoki Otani, Nikita Bhutani, Hannah Kim +2Long-Horizon Planning Tool-Using Agents
Megagon Labs Mountain View, California, USA
Tools as Continuous Flow for Evolving Agentic Reasoning
May 8, 2026Tairan Huang, Siyu Shang, Qiang Chen +2Tool-Use Planning AI Agent Benchmarks
Central South University · The Hong Kong University of Science and Technology
Learning and Reusing Policy Decompositions for Hierarchical Generalized Planning with LLM Agents
May 7, 2026Shirin Sohrabi, Haritha Ananthakrishnan, Harsha Kokel +2LLM Agent Skill Learning Policy Learning
IBM
Executable World Models for ARC-AGI-3 in the Era of Coding Agents
May 6, 2026Sergey RodionovWorld Models Coding Agents
SingularityNET
Bridging Perception and Action: A Lightweight Multimodal Meta-Planner Framework for Robust Earth Observation Agents
May 6, 2026Jinghui Xu, Boyi Shangguan, Mengke Zhu +10Remote Sensing Tool-Use Planning
State Key Laboratory of Space Information System and Integrated Application, Beijing 100095, China · Beijing Institute of Satellite Information Engineering, Beijing 100095, China · Shenzhen International Graduate School, Tsinghua University, Shenzhen, China +2
Say the Mission, Execute the Swarm: Agent-Enhanced LLM Reasoning in the Web-of-Drones
May 5, 2026Andrea Iannoli, Lorenzo Gigli, Luca Sciullo +2Aerial Robotics Multi-Robot Systems
Department of Computer Science and Engineering University of Bologna Bologna, Italy
FlexSQL: Flexible Exploration and Execution Make Better Text-to-SQL Agents
May 4, 2026Quang Hieu Pham, Yang He, Ping Nie +5Text-to-SQL LLM Agents
University of Alberta · Simon Fraser University · University of Waterloo +1
Planner Matters! An Efficient and Unbalanced Multi-agent Collaboration Framework for Long-horizon Planning
May 4, 2026Wenyi Wu, Sibo Zhu, Kun Zhou +1Reinforcement Learning Multi-Agent Collaboration
University of California, San Diego
RunAgent: Interpreting Natural-Language Plans with Constraint-Guided Execution
May 1, 2026Arunabh Srivastava, Mohammad A., Khojastepour +2Multi-Agent LLM Systems Tool-Using Language Agents
Amir · University of Maryland, College Park, MD · 2NEC Laboratories America, Inc.

May 26, 2026, cs.ROJ/K move · Enter open · S save

PEACE: A Planner-Executor Agent with Constraint Enforcement for UAVs

Erdem Uysal, Timo Kehrer, Sebastiano Panichella

Institute of Computer Science, University of Bern, 3012 Bern, Switzerland

Large Language Model-Based Robot Planning Robot Foundation Models UAV Navigation Robot Task Planning LLM Agent Planning

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Foundation models are increasingly used to drive autonomous systems, yet existing approaches either keep the model in a tight control loop, raising latency and hallucination risk, or compile natural language into opaque end-to-end policies that are hard to explain, constraint and require domain-specific datasets and fine-tuning. We propose a planner-executor agent for PX4-based drones that decouples high-level mission planning from low-level control. A large language model performs single-pass task planning, while execution is handled through a structured ROS 2 tool-calling interface bridged to MAVLink. The system constructs a world model by combining modular 2D detectors (e.g., YOLO or vision-language models) with a pinhole depth projection module for 3D object localization. A constraint enforcement layer enforces altitude limits and horizontal geofencing, and bounded replanning enables recovery from execution-time action failures. We position our approach within three common design patterns for foundation-model-based robotics systems and demonstrate its feasibility in PX4 software-in-the-loop simulations in Gazebo. Results highlight improved explainability, constraint enforcement, and reduced LLM calls compared to tightly coupled LLM control. The code, dataset, videos, and other material can be found at the following link: https://github.com/erdemuysalx/PEACE

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Latest papers 144