Cargando…

Deep-Reinforcement-Learning-Based Object Transportation Using Task Space Decomposition

This paper presents a novel object transportation method using deep reinforcement learning (DRL) and the task space decomposition (TSD) method. Most previous studies on DRL-based object transportation worked well only in the specific environment where a robot learned how to transport an object. Anot...

Descripción completa

Detalles Bibliográficos
Autor principal:	Eoh, Gyuho
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	MDPI 2023
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10223963/ https://www.ncbi.nlm.nih.gov/pubmed/37430720 http://dx.doi.org/10.3390/s23104807

Ejemplares similares

Cooperative Object Transportation Using Curriculum-Based Deep Reinforcement Learning
por: Eoh, Gyuho, et al.
Publicado: (2021)

Optimal Tasking of Ground-Based Sensors for Space Situational Awareness Using Deep Reinforcement Learning
por: Siew, Peng Mun, et al.
Publicado: (2022)

The Task Decomposition and Dedicated Reward-System-Based Reinforcement Learning Algorithm for Pick-and-Place
por: Kim, Byeongjun, et al.
Publicado: (2023)

Deep Reinforcement Learning-Based Task Scheduling in IoT Edge Computing
por: Sheng, Shuran, et al.
Publicado: (2021)

Manipulation of free-floating objects using Faraday flows and deep reinforcement learning
por: Hardman, David, et al.
Publicado: (2022)

Object Manipulation with an Anthropomorphic Robotic Hand via Deep Reinforcement Learning with a Synergy Space of Natural Hand Poses
por: Rivera, Patricio, et al.
Publicado: (2021)

Multi-Objective Optimal Trajectory Planning for Robotic Arms Using Deep Reinforcement Learning
por: Zhang, Shaobo, et al.
Publicado: (2023)

Towards Application-Driven Task Offloading in Edge Computing Based on Deep Reinforcement Learning
por: Sun, Ming, et al.
Publicado: (2021)

Adaptive Discount Factor for Deep Reinforcement Learning in Continuing Tasks with Uncertainty
por: Kim, MyeongSeop, et al.
Publicado: (2022)

Reinforcement Learning Model With Dynamic State Space Tested on Target Search Tasks for Monkeys: Extension to Learning Task Events
por: Sakamoto, Kazuhiro, et al.
Publicado: (2022)

Traffic Signal Control Using Hybrid Action Space Deep Reinforcement Learning
por: Bouktif, Salah, et al.
Publicado: (2021)

Automatic Classification Service System for Citrus Pest Recognition Based on Deep Learning
por: Lee, Saebom, et al.
Publicado: (2022)

Evaluating the Work Productivity of Assembling Reinforcement through the Objects Detected by Deep Learning
por: Li, Jiaqi, et al.
Publicado: (2021)

Automatic Inside Point Localization with Deep Reinforcement Learning for Interactive Object Segmentation
por: Li, Guoqing, et al.
Publicado: (2021)

Prehensile and Non-Prehensile Robotic Pick-and-Place of Objects in Clutter Using Deep Reinforcement Learning
por: Imtiaz, Muhammad Babar, et al.
Publicado: (2023)

Multi-Objective Optimization of Energy Saving and Throughput in Heterogeneous Networks Using Deep Reinforcement Learning
por: Ryu, Kyungho, et al.
Publicado: (2021)

Federated Deep Reinforcement Learning Based Task Offloading with Power Control in Vehicular Edge Computing
por: Moon, Sungwon, et al.
Publicado: (2022)

Deep Reinforcement Learning for Articulatory Synthesis in a Vowel-to-Vowel Imitation Task
por: Shitov, Denis, et al.
Publicado: (2023)

Classification of Space Objects by Using Deep Learning with Micro-Doppler Signature Images
por: Jung, Kwangyong, et al.
Publicado: (2021)

A neural network model for the orbitofrontal cortex and task space acquisition during reinforcement learning
por: Zhang, Zhewei, et al.
Publicado: (2018)

Application of Deep Reinforcement Learning Algorithm in Uncertain Logistics Transportation Scheduling
por: Yuan, Yunmei, et al.
Publicado: (2021)

Credit assignment between body and object probed by an object transportation task
por: Kong, Gaiqing, et al.
Publicado: (2017)

Speeding Task Allocation Search for Reconfigurations in Adaptive Distributed Embedded Systems Using Deep Reinforcement Learning
por: Rotaeche, Ramón, et al.
Publicado: (2023)

Multiple Self-Supervised Auxiliary Tasks for Target-Driven Visual Navigation Using Deep Reinforcement Learning
por: Zhang, Wenzhi, et al.
Publicado: (2023)

Multimodal Deep Reinforcement Learning with Auxiliary Task for Obstacle Avoidance of Indoor Mobile Robot
por: Song, Hailuo, et al.
Publicado: (2021)

Molecular Design in Synthetically Accessible Chemical Space via Deep Reinforcement Learning
por: Horwood, Julien, et al.
Publicado: (2020)

Fault tolerant trust based task scheduler using Harris Hawks optimization and deep reinforcement learning in multi cloud environment
por: Mangalampalli, Sudheer, et al.
Publicado: (2023)

Task Offloading Decision-Making Algorithm for Vehicular Edge Computing: A Deep-Reinforcement-Learning-Based Approach
por: Shi, Wei, et al.
Publicado: (2023)

Retracted: Application of Deep Reinforcement Learning Algorithm in Uncertain Logistics Transportation Scheduling
por: Intelligence and Neuroscience, Computational
Publicado: (2023)

Using deep neural networks to evaluate object vision tasks in rats
por: Vinken, Kasper, et al.
Publicado: (2021)

Federated Deep Reinforcement Learning-Based Task Offloading and Resource Allocation for Smart Cities in a Mobile Edge Network
por: Chen, Xing, et al.
Publicado: (2022)

Action-specialized expert ensemble trading system with extended discrete action space using deep reinforcement learning
por: Leem, JoonBum, et al.
Publicado: (2020)

Countering a Drone in a 3D Space: Analyzing Deep Reinforcement Learning Methods
por: Çetin, Ender, et al.
Publicado: (2022)

Hierarchical Trajectory Planning for Narrow-Space Automated Parking with Deep Reinforcement Learning: A Federated Learning Scheme
por: Yuan, Zheng, et al.
Publicado: (2023)

Multi-Object Multi-Camera Tracking Based on Deep Learning for Intelligent Transportation: A Review
por: Fei, Lunlin, et al.
Publicado: (2023)

Deep Reinforcement Learning in Action
por: Brown, Brandon
Publicado: (2020)

Deep Reinforcement Learning Hands-On
por: Lapan, Maxim
Publicado: (2020)

Deep Reinforcement Learning with Python
por: Ravichandiran, Sudharsan
Publicado: (2020)

An introduction to deep reinforcement learning
por: François-Lavet, Vincent, et al.
Publicado: (2018)

Grokking Deep Reinforcement Learning
por: Morales, Miguel
Publicado: (2020)

Cannot write session to /tmp/vufind_sessions/sess_6hn251aivr1osnnqfk4hum2hf2