Zobrazeno 1 - 10
of 1 287
pro vyhledávání: '"Potential fields"'
Publikováno v:
Heliyon, Vol 10, Iss 15, Pp e35328- (2024)
In complex systems, single micro/nanorobots encounter challenges related to limited loading capacity and navigation, hindering their effective utilization in targeted therapy and drug delivery. To solve these challenges, this paper explores potential
Externí odkaz:
https://doaj.org/article/f6186496006d45a7b09fe58c60e724b4
Publikováno v:
Georesursy, Vol 26, Iss 2 (2024)
Further development of modern formal approaches to extracting geo-structural information from gravimetric and magnetometric data is herein discussed. A practical example of using 3D GEMD (three-dimensional controlled empirical mode decomposition) alg
Externí odkaz:
https://doaj.org/article/82eeac8c845c49c0bdc914b010ce9af7
Publikováno v:
IEEE Access, Vol 12, Pp 101407-101418 (2024)
Robotic exploration has long captivated researchers aiming to map complex environments efficiently. Techniques such as potential fields and frontier exploration have traditionally been employed in this pursuit, primarily focusing on solitary agents.
Externí odkaz:
https://doaj.org/article/a856796d41e8442d84a6d98c2f4b1e45
Publikováno v:
IEEE Access, Vol 12, Pp 92598-92611 (2024)
For the development of autonomous robotic systems, Dynamic Movement Primitives (DMP) and Artificial Potential Fields (APF) are two well known techniques. DMPs are a reference algorithm in robotics for one shot learning as they enable learning complex
Externí odkaz:
https://doaj.org/article/50df5a679828467094435a8f6ea7a91f
Publikováno v:
Symmetry, Vol 16, Iss 8, p 1014 (2024)
This paper proposes the complex dynamics of collective behavior through an interdisciplinary approach that integrates individual cognition with potential fields. Firstly, the interaction between individual cognition and external potential fields in c
Externí odkaz:
https://doaj.org/article/036b5dd486fc4f87b5fa342622f2fb74
Publikováno v:
Applied Sciences, Vol 14, Iss 15, p 6735 (2024)
Connected and automated vehicles (CAVs) represent a significant development in the transport industry owing to their intelligent and interconnected features. Potential field theory has been extensively used to model CAV driving behaviour owing to its
Externí odkaz:
https://doaj.org/article/ebf388bd51c847f3b5dac9309b0b67c5
Autor:
Ramón Silva-Ortigoza, Erik Reyes-Reyes, Ángel Adrián Orta-Quintana, Magdalena Marciano-Melchor, Eduardo Hernández-Márquez, Jesús Huerta-Chua, José Rafael García-Sánchez, Gilberto Silva-Ortigoza
Publikováno v:
e-Prime: Advances in Electrical Engineering, Electronics and Energy, Vol 7, Iss , Pp 100454- (2024)
Through the development of a three-level hierarchical controller, this study proposes a solution to the obstacle avoidance task in wheeled mobile robots (WMRs). The proposed controller takes into consideration the dynamics of the three subsystems tha
Externí odkaz:
https://doaj.org/article/7777f096d4164033b0a2c90a8c6e1e06
Publikováno v:
Applied Sciences, Vol 14, Iss 8, p 3215 (2024)
Robot Exploration can be used to autonomously map an area or conduct search missions in remote or hazardous environments. Using multiple robots to perform this task can improve efficiency for time-critical applications. In this work, a distributed me
Externí odkaz:
https://doaj.org/article/a10cd4c6aaf34028a52880f697dd4278
Publikováno v:
Applied Sciences, Vol 14, Iss 8, p 3303 (2024)
When autonomous agents are deployed in an unknown environment, obstacle-avoiding movement and navigation are required basic skills, all the more so when agents are limited by partial-observability constraints. This paper addresses the problem of auto
Externí odkaz:
https://doaj.org/article/7cf5d295e43f4916953854e36e30380b
Publikováno v:
IEEE Access, Vol 11, Pp 83492-83506 (2023)
In this paper we address the problem of trajectory following in an unknown environment with an unmanned aerial vehicle (UAV). The main goal is to safely follow the planned trajectory by avoiding obstacles. The proposed approach is suitable for aerial
Externí odkaz:
https://doaj.org/article/44780db6be29443b86d19ae39f3d8fd8