Papers Task Planning
“Task Planning” 태그가 달린 논문 344편 · 필터 해제
GTA1: GUI Test-time Scaling Agent
Graphical user interface (GUI) agents autonomously operate across platforms (e.g., Linux) to complete tasks by interacting with visual elements. Specifically, a user instruction is decomposed into a sequence of action pr…
Reinforcement Learning (RL)Task PlanningVisual GroundingMedPrompt: LLM-CNN Fusion with Weight Routing for Medical Image Segmentation and Classification
Current medical image analysis systems are typically task-specific, requiring separate models for classification and segmentation, and lack the flexibility to support user-defined workflows. To address these challenges, …
Image SegmentationLarge Language ModelMedical Image AnalysisMedical Image Segmentation+2VLA-OS: Structuring and Dissecting Planning Representations and Paradigms in Vision-Language-Action Models
Recent studies on Vision-Language-Action (VLA) models have shifted from the end-to-end action-generation paradigm toward a pipeline involving task planning followed by action generation, demonstrating improved performanc…
Action GenerationContinual LearningTask PlanningVision-Language-ActionMultimodal Fused Learning for Solving the Generalized Traveling Salesman Problem in Robotic Task Planning
Effective and efficient task planning is essential for mobile robots, especially in applications like warehouse retrieval and environmental monitoring. These tasks often involve selecting one location from each of severa…
Computational EfficiencyTask PlanningTraveling Salesman ProblemTowards AI Search Paradigm
In this paper, we introduce the AI Search Paradigm, a comprehensive blueprint for next-generation search systems capable of emulating human information processing and decision-making. The paradigm employs a modular archi…
Decision MakingRetrieval-augmented GenerationTask PlanningA Comprehensive Survey of Deep Research: Systems, Methodologies, and Applications
This survey examines the rapidly evolving field of Deep Research systems -- AI-powered applications that automate complex research workflows through the integration of large language models, advanced information retrieva…
Information RetrievalSurveyTask PlanningMirage-1: Augmenting and Updating GUI Agent with Hierarchical Multimodal Skills
Recent efforts to leverage the Multi-modal Large Language Model (MLLM) as GUI agents have yielded promising outcomes. However, these agents still struggle with long-horizon tasks in online environments, primarily due to …
Large Language ModelTask PlanningVIKI-R: Coordinating Embodied Multi-Agent Cooperation via Reinforcement Learning
Coordinating multiple embodied agents in dynamic environments remains a core challenge in artificial intelligence, requiring both perception-driven reasoning and scalable cooperation strategies. While recent works have l…
Task PlanningVisual ReasoningLanguage-Vision Planner and Executor for Text-to-Visual Reasoning
The advancement in large language models (LLMs) and large vision models has fueled the rapid progress in multi-modal visual-text reasoning capabilities. However, existing vision-language models (VLMs) to date suffer from…
In-Context LearningMMETask PlanningVisual ReasoningPrime the search: Using large language models for guiding geometric task and motion planning by warm-starting tree search
The problem of relocating a set of objects to designated areas amidst movable obstacles can be framed as a Geometric Task and Motion Planning (G-TAMP) problem, a subclass of task and motion planning (TAMP). Traditional a…
Common Sense ReasoningMotion PlanningTask and Motion PlanningTask PlanningRoboPARA: Dual-Arm Robot Planning with Parallel Allocation and Recomposition Across Tasks
Dual-arm robots play a crucial role in improving efficiency and flexibility in complex multitasking scenarios. While existing methods have achieved promising results in task planning, they often fail to fully optimize ta…
Large Language ModelTask PlanningHierarchical Debate-Based Large Language Model (LLM) for Complex Task Planning of 6G Network Management
6G networks have become increasingly complicated due to novel network architecture and newly emerging signal processing and transmission techniques, leading to significant burdens to 6G network management. Large language…
Language ModelingLanguage ModellingLarge Language ModelManagement+1Understanding Physical Properties of Unseen Deformable Objects by Leveraging Large Language Models and Robot Actions
In this paper, we consider the problem of understanding the physical properties of unseen objects through interactions between the objects and a robot. Handling unseen objects with special properties such as deformabilit…
Motion PlanningTask and Motion PlanningTask PlanningFlySearch: Exploring how vision-language models explore
The real world is messy and unstructured. Uncovering critical information often requires active, goal-driven exploration. It remains to be seen whether Vision-Language Models (VLMs), which recently emerged as a popular z…
HallucinationTask PlanningGrounded Vision-Language Interpreter for Integrated Task and Motion Planning
While recent advances in vision-language models (VLMs) have accelerated the development of language-guided robot planners, their black-box nature often lacks safety guarantees and interpretability crucial for real-world …
Motion PlanningTask and Motion PlanningTask PlanningTru-POMDP: Task Planning Under Uncertainty via Tree of Hypotheses and Open-Ended POMDPs
Task planning under uncertainty is essential for home-service robots operating in the real world. Tasks involve ambiguous human instructions, hidden or unknown object locations, and open-vocabulary object types, leading …
ObjectObject RearrangementTask PlanningChemGraph: An Agentic Framework for Computational Chemistry Workflows
Atomistic simulations are essential tools in chemistry and materials science, accelerating the discovery of novel catalysts, energy storage materials, and pharmaceuticals. However, running these simulations remains chall…
Computational chemistryGraph Neural NetworkNatural Language UnderstandingTask PlanningLoHoVLA: A Unified Vision-Language-Action Model for Long-Horizon Embodied Tasks
Real-world embodied agents face long-horizon tasks, characterized by high-level goals demanding multi-step solutions beyond single actions. Successfully navigating these requires both high-level task planning (i.e., deco…
Task PlanningVision-Language-ActionMASTER: Multi-Agent Security Through Exploration of Roles and Topological Structures -- A Comprehensive Framework
Large Language Models (LLMs)-based Multi-Agent Systems (MAS) exhibit remarkable problem-solving and task planning capabilities across diverse domains due to their specialized agentic roles and collaborative interactions.…
Task PlanningBEDI: A Comprehensive Benchmark for Evaluating Embodied Agents on UAVs
With the rapid advancement of low-altitude remote sensing and Vision-Language Models (VLMs), Embodied Agents based on Unmanned Aerial Vehicles (UAVs) have shown significant potential in autonomous tasks. However, current…
Model OptimizationTask Planning