Papers Task Planning
“Task Planning” 태그가 달린 논문 344편 · 필터 해제
Object Detection for Understanding Assembly Instruction Using Context-aware Data Augmentation and Cascade Mask R-CNN
Understanding assembly instruction has the potential to enhance the robot s task planning ability and enables advanced robotic applications. To recognize the key components from the 2D assembly instruction image, We main…
Data AugmentationDiversityobject-detectionObject Detection+2Generating Plannable Lifted Action Models for Visually Generated Logical Predicates
We propose FOSAE++, an unsupervised end-to-end neural system that generates a compact discrete state transition model (dynamics / action model) from raw visual observations. Our representation can be exported to Planning…
Task PlanningSemantic SLAM with Autonomous Object-Level Data Association
It is often desirable to capture and map semantic information of an environment during simultaneous localization and mapping (SLAM). Such semantic information can enable a robot to better distinguish places with similar …
ObjectSemantic SLAMSimultaneous Localization and MappingTask PlanningBroadly-Exploring, Local-Policy Trees for Long-Horizon Task Planning
Long-horizon planning in realistic environments requires the ability to reason over sequential tasks in high-dimensional state spaces with complex dynamics. Classical motion planning algorithms, such as rapidly-exploring…
Motion PlanningTask PlanningActionet: An Interactive End-To-End Platform For Task-Based Data Collection And Augmentation In 3D Environment
The problem of task planning for artificial agents remains largely unsolved. While there has been increasing interest in data-driven approaches for the study of task planning for artificial agents, a significant remainin…
Dataset GenerationTask PlanningIntegrated Task and Motion Planning
The problem of planning for a robot that operates in environments containing a large number of objects, taking actions to move itself through the world as well as to change the state of the objects, is known as task and …
Motion PlanningTask and Motion PlanningTask PlanningDeComplex: Task planning from complex natural instructions by a collocating robot
As the number of robots in our daily surroundings like home, office, restaurants, factory floors, etc. are increasing rapidly, the development of natural human-robot interaction mechanism becomes more vital as it dictate…
Task PlanningCompact Belief State Representation for Task Planning
Task planning in a probabilistic belief state domains allows generating complex and robust execution policies in those domains affected by state uncertainty. The performance of a task planner relies on the belief state r…
Task PlanningA Maximum Independent Set Method for Scheduling Earth Observing Satellite Constellations
Operating Earth observing satellites requires efficient planning methods that coordinate activities of multiple spacecraft. The satellite task planning problem entails selecting actions that best satisfy mission objectiv…
SchedulingTask PlanningSpecification mining and automated task planning for autonomous robots based on a graph-based spatial temporal logic
We aim to enable an autonomous robot to learn new skills from demo videos and use these newly learned skills to accomplish non-trivial high-level tasks. The goal of developing such autonomous robot involves knowledge rep…
Task PlanningBottom-up mechanism and improved contract net protocol for the dynamic task planning of heterogeneous Earth observation resources
Earth observation resources are becoming increasingly indispensable in disaster relief, damage assessment and related domains. Many unpredicted factors, such as the change of observation task requirements, to the occurri…
Earth ObservationTask PlanningDeployment and Evaluation of a Flexible Human-Robot Collaboration Model Based on AND/OR Graphs in a Manufacturing Environment
The Industry 4.0 paradigm promises shorter development times, increased ergonomy, higher flexibility, and resource efficiency in manufacturing environments. Collaborative robots are an important tangible technology for i…
Task PlanningModeling Long-horizon Tasks as Sequential Interaction Landscapes
Complex object manipulation tasks often span over long sequences of operations. Task planning over long-time horizons is a challenging and open problem in robotics, and its complexity grows exponentially with an increasi…
Robot ManipulationTask PlanningUnmanned Aerial Systems for Wildland and Forest Fires
Wildfires represent an important natural risk causing economic losses, human death and important environmental damage. In recent years, we witness an increase in fire intensity and frequency. Research has been conducted …
Task PlanningAutonomous task planning and situation awareness in robotic surgery
The use of robots in minimally invasive surgery has improved the quality of standard surgical procedures. So far, only the automation of simple surgical actions has been investigated by researchers, while the execution o…
Motion PlanningTask PlanningExploration and Coordination of Complementary Multi-Robot Teams in a Hunter and Gatherer Scenario
The hunter and gatherer approach copes with the problem of dynamic multi-robot task allocation, where tasks are unknowingly distributed over an environment. This approach employs two complementary teams of agents: one ag…
Task PlanningMarkov Decision Processes For Multi-Objective Satellite Task Planning
This paper presents a semi-Markov decision process (SMDP) formulation of the satellite task scheduling problem. This formulation can consider multiple operational objectives simultaneously and plan transitions between di…
ManagementSchedulingTask PlanningLearning to combine primitive skills: A step towards versatile robotic manipulation
Manipulation tasks such as preparing a meal or assembling furniture remain highly challenging for robotics and vision. Traditional task and motion planning (TAMP) methods can solve complex tasks but require full state ob…
Data AugmentationImitation LearningIndustrial RobotsMotion Planning+4Informative Path Planning with Local Penalization for Decentralized and Asynchronous Swarm Robotic Search
Decentralized swarm robotic solutions to searching for targets that emit a spatially varying signal promise task parallelism, time efficiency, and fault tolerance. It is, however, challenging for swarm algorithms to offe…
Bayesian OptimizationTask PlanningControl What You Can: Intrinsically Motivated Task-Planning Agent
We present a novel intrinsically motivated agent that learns how to control the environment in the fastest possible manner by optimizing learning progress. It learns what can be controlled, how to allocate time and atten…
Task Planning