Papers Task Planning
“Task Planning” 태그가 달린 논문 344편 · 필터 해제
Task Planning Support for Arborists and Foresters: Comparing Deep Learning Approaches for Tree Inventory and Tree Vitality Assessment Based on UAV-Data
Climate crisis and correlating prolonged, more intense periods of drought threaten tree health in cities and forests. In consequence, arborists and foresters suffer from increasing workloads and, in the best case, a cons…
Task PlanningSkiROS2: A skill-based Robot Control Platform for ROS
The need for autonomous robot systems in both the service and the industrial domain is larger than ever. In the latter, the transition to small batches or even "batch size 1" in production created a need for robot contro…
SchedulingTask PlanningRobot Task Planning Based on Large Language Model Representing Knowledge with Directed Graph Structures
Traditional robot task planning methods face challenges when dealing with highly unstructured environments and complex tasks. We propose a task planning method that combines human expertise with an LLM and have designed …
Language ModelingLanguage ModellingLarge Language ModelRobot Task Planning+1SheetCopilot: Bringing Software Productivity to the Next Level through Large Language Models
Computer end users have spent billions of hours completing daily tasks like tabular data processing and project timeline scheduling. Most of these tasks are repetitive and error-prone, yet most end users lack the skill t…
BenchmarkingCode GenerationRobot Task PlanningScheduling+1Integrating Action Knowledge and LLMs for Task Planning and Situation Handling in Open Worlds
Task planning systems have been developed to help robots use human knowledge (about actions) to complete long-horizon tasks. Most of them have been developed for "closed worlds" while assuming the robot is provided with …
Task PlanningWorld KnowledgeA Categorical Representation Language and Computational System for Knowledge-Based Planning
Classical planning representation languages based on first-order logic have preliminarily been used to model and solve robotic task planning problems. Wider adoption of these representation languages, however, is hindere…
Knowledge GraphsTask PlanningLeveraging Pre-trained Large Language Models to Construct and Utilize World Models for Model-based Task Planning
There is a growing interest in applying pre-trained large language models (LLMs) to planning problems. However, methods that use LLMs directly as planners are currently impractical due to several factors, including limit…
Task PlanningSemantically Aligned Task Decomposition in Multi-Agent Reinforcement Learning
The difficulty of appropriately assigning credit is particularly heightened in cooperative MARL with sparse reward, due to the concurrent time and structural scales involved. Automatic subgoal generation (ASG) has recent…
Decision MakingDiversityMulti-agent Reinforcement Learningreinforcement-learning+3Cross-Modality Time-Variant Relation Learning for Generating Dynamic Scene Graphs
Dynamic scene graphs generated from video clips could help enhance the semantic visual understanding in a wide range of challenging tasks such as environmental perception, autonomous navigation, and task planning of self…
RelationScene Graph GenerationScene UnderstandingTask PlanningLearning to Reason over Scene Graphs: A Case Study of Finetuning GPT-2 into a Robot Language Model for Grounded Task Planning
Long-horizon task planning is essential for the development of intelligent assistive and service robots. In this work, we investigate the applicability of a smaller class of large language models (LLMs), specifically GPT…
Language ModelingLanguage ModellingTask PlanningA Multi-modal Garden Dataset and Hybrid 3D Dense Reconstruction Framework Based on Panoramic Stereo Images for a Trimming Robot
Recovering an outdoor environment's surface mesh is vital for an agricultural robot during task planning and remote visualization. Our proposed solution is based on a newly-designed panoramic stereo camera along with a h…
Task PlanningMultimodal Contextualized Plan Prediction for Embodied Task Completion
Task planning is an important component of traditional robotics systems enabling robots to compose fine grained skills to perform more complex tasks. Recent work building systems for translating natural language to execu…
PredictionTask PlanningAnticipatory Planning: Improving Long-Lived Planning by Estimating Expected Cost of Future Tasks
We consider a service robot in a household environment given a sequence of high-level tasks one at a time. Most existing task planners, lacking knowledge of what they may be asked to do next, solve each task in isolation…
Graph Neural NetworkTask PlanningHuggingGPT: Solving AI Tasks with ChatGPT and its Friends in Hugging Face
Solving complicated AI tasks with different domains and modalities is a key step toward artificial general intelligence. While there are numerous AI models available for various domains and modalities, they cannot handle…
Automatic Machine Learning Model SelectionModel SelectionPhilosophyTask PlanningHey Dona! Can you help me with student course registration?
In this paper, we present a demo of an intelligent personal agent called Hey Dona (or just Dona) with virtual voice assistance in student course registration. It is a deployed project in the theme of AI for education. In…
Task PlanningA Framework for Neurosymbolic Robot Action Planning using Large Language Models
Symbolic task planning is a widely used approach to enforce robot autonomy due to its ease of understanding and deployment in robot architectures. However, techniques for symbolic task planning are difficult to scale in …
Task PlanningDescribe, Explain, Plan and Select: Interactive Planning with Large Language Models Enables Open-World Multi-Task Agents
We investigate the challenge of task planning for multi-task embodied agents in open-world environments. Two main difficulties are identified: 1) executing plans in an open-world environment (e.g., Minecraft) necessitate…
MinecraftTask PlanningA Unified Architecture for Dynamic Role Allocation and Collaborative Task Planning in Mixed Human-Robot Teams
The growing deployment of human-robot collaborative processes in several industrial applications, such as handling, welding, and assembly, unfolds the pursuit of systems which are able to manage large heterogeneous teams…
SchedulingTask PlanningLogic programming for deliberative robotic task planning
Over the last decade, the use of robots in production and daily life has increased. With increasingly complex tasks and interaction in different environments including humans, robots are required a higher level of autono…
Computational EfficiencyTask PlanningA$^2$-UAV: Application-Aware Content and Network Optimization of Edge-Assisted UAV Systems
To perform advanced surveillance, Unmanned Aerial Vehicles (UAVs) require the execution of edge-assisted computer vision (CV) tasks. In multi-hop UAV networks, the successful transmission of these tasks to the edge is se…
image-classificationImage ClassificationImage Compressionobject-detection+2