Zobrazeno 1 - 10
of 1 486
pro vyhledávání: '"task planning"'
Publikováno v:
Strategic Workforce Planning : Best Practices and Emerging Directions, 2024.
Externí odkaz:
https://doi.org/10.1093/oso/9780197759745.003.0010
Autor:
Huang Jie, Li Junjie
Publikováno v:
Hangkong bingqi, Vol 31, Iss 2, Pp 79-90 (2024)
This paper proposes two rigid formation task planning schemes for multi-agent systems to address the problem of maintaining rigid formation task planning under the condition of only obtaining local distance and relative angle information of multi-age
Externí odkaz:
https://doaj.org/article/964be52b8e1449de97c12abf1f9edd29
Autor:
Gökhan Gelen, Yasemin İçmez
Publikováno v:
Ain Shams Engineering Journal, Vol 15, Iss 7, Pp 102804- (2024)
In modern industrial production, robotic assembly systems play a crucial role. As robots take on more tasks, the need for formal methods arises to define, control, and execute these tasks. This paper introduces a comprehensive approach to designing a
Externí odkaz:
https://doaj.org/article/ad0c73e9f9984af8be1cad189c7bacd1
Publikováno v:
CSEE Journal of Power and Energy Systems, Vol 10, Iss 1, Pp 29-40 (2024)
The complexity and uncertainty in power systems cause great challenges to controlling power grids. As a popular data-driven technique, deep reinforcement learning (DRL) attracts attention in the control of power grids. However, DRL has some inherent
Externí odkaz:
https://doaj.org/article/2ace01d5cea8452f9e72e1581b05e3e6
Publikováno v:
Frontiers in Neurorobotics, Vol 18 (2024)
Symbolic task planning is a widely used approach to enforce robot autonomy due to its ease of understanding and deployment in engineered robot architectures. However, techniques for symbolic task planning are difficult to scale in real-world, highly
Externí odkaz:
https://doaj.org/article/b0bfdb61ca89428bb4c26ce760ecb9d3
Publikováno v:
Frontiers in Neurorobotics, Vol 18 (2024)
IntroductionIn recent years, the perceptual capabilities of robots have been significantly enhanced. However, the task execution of the robots still lacks adaptive capabilities in unstructured and dynamic environments.MethodsIn this paper, we propose
Externí odkaz:
https://doaj.org/article/25a1a1551de248f09ef1b5a5edbe0582
Publikováno v:
Complex System Modeling and Simulation, Vol 3, Iss 4, Pp 357-380 (2023)
Nowadays, autonomous robots are expected to accomplish more complex tasks and operate in an open-world environment with uncertainties. Developing software for such robots involves the design of task planning paradigms and the implementation of roboti
Externí odkaz:
https://doaj.org/article/11401f289b0448d1afccf5a109ff0829
Publikováno v:
Eng, Vol 4, Iss 4, Pp 2514-2524 (2023)
The recognition of human activities from video sequences and their transformation into a machine-readable form is a challenging task, which is the subject of many studies. The goal of this project is to develop an automated method for analyzing, iden
Externí odkaz:
https://doaj.org/article/fc00075ef9cd40729b5d84a66b281fb5
Autor:
Souren Pashangpour, Goldie Nejat
Publikováno v:
Robotics, Vol 13, Iss 8, p 112 (2024)
The potential use of large language models (LLMs) in healthcare robotics can help address the significant demand put on healthcare systems around the world with respect to an aging demographic and a shortage of healthcare professionals. Even though L
Externí odkaz:
https://doaj.org/article/02a61ff4f91c491db271c3cc236d15e8
Publikováno v:
Applied Sciences, Vol 14, Iss 14, p 6052 (2024)
Excavator–truck operations, characterized by their repetitive excavation and loading tasks, present a prime candidate for automation. While numerous studies have aimed to automate the earthworks, practical implementations remain scarce. This resear
Externí odkaz:
https://doaj.org/article/b84c792348a54893b14ef274e0c4a3be