Zobrazeno 1 - 10
of 1 678
pro vyhledávání: '"Collision free"'
Publikováno v:
Measurement: Sensors, Vol 36, Iss , Pp 101195- (2024)
Unmanned aerial vehicles (UAVs) are gaining prominence in autonomously navigating diverse terrains, requiring the capability to establish collision-free trajectories and adapt them on-the-fly to changing environments. This study's central contributio
Externí odkaz:
https://doaj.org/article/bd57e0a83c2240688ba7a047ffaf0c75
Publikováno v:
Digital Communications and Networks, Vol 10, Iss 3, Pp 609-619 (2024)
The recent proliferation of Fifth-Generation (5G) networks and Sixth-Generation (6G) networks has given rise to Vehicular Crowd Sensing (VCS) systems which solve parking collisions by effectively incentivizing vehicle participation. However, instead
Externí odkaz:
https://doaj.org/article/2d7c30ccbf1547d994b0babe3d5b3b73
Autor:
Chuanlang Peng, Qingchun Feng, Zhengwei Guo, Yuhang Ma, Yajun Li, Yifan Zhang, Liangzheng Gao
Publikováno v:
Plants, Vol 13, Iss 22, p 3211 (2024)
The current harvesting arms used in harvesting robots are developed based on standard products. Due to design constraints, they are unable to effectively avoid obstacles while harvesting tomatoes in tight spaces. To enhance the robot’s capability i
Externí odkaz:
https://doaj.org/article/26e1de3a565843f9b86be5de5a2587d9
Publikováno v:
Applied Sciences, Vol 14, Iss 17, p 7877 (2024)
This paper aims to present an approach to address the atom rearrangement problem by developing Convolutional Neural Network (CNN) models. These models predict the coordinates for atom movements while ensuring collision-free transitions and filling al
Externí odkaz:
https://doaj.org/article/59a39a7f754c453dade0af76119cf145
Publikováno v:
Industrial Robot: the international journal of robotics research and application, 2022, Vol. 50, Issue 1, pp. 94-106.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/IR-04-2022-0102
Autor:
César Gómez Arnaldo, María Zamarreño Suárez, Francisco Pérez Moreno, Raquel Delgado-Aguilera Jurado
Publikováno v:
Drones, Vol 8, Iss 7, p 288 (2024)
This paper introduces a comprehensive framework for generating obstacle-free flight paths for unmanned aerial vehicles (UAVs) in intricate 3D environments. The system leverages the Rapidly Exploring Random Tree (RRT) algorithm to design trajectories
Externí odkaz:
https://doaj.org/article/4eafae9bbd0c490f967b701b22f0f8d9
Publikováno v:
Actuators, Vol 13, Iss 4, p 153 (2024)
The development of intelligent transportation technology has provided a significant impetus for autonomous driving technology. Currently, autonomous vehicles based on Model Predictive Control (MPC) employ motion control strategies based on sampling t
Externí odkaz:
https://doaj.org/article/09851e17a30c4f839e44bd34b6b4bbd4
Autor:
Subaselvi Sundarraj, R. Vijaya Kumar Reddy, Mahesh Babu Basam, Gururaj Harinahalli Lokesh, Francesco Flammini, Rajesh Natarajan
Publikováno v:
IEEE Access, Vol 11, Pp 92433-92442 (2023)
An autonomous robotic vehicle (ARVs) is a self-driving vehicle that uses advanced technologies to navigate through the environment without human intervention. These vehicles can be used for various applications, including transportation, logistics, s
Externí odkaz:
https://doaj.org/article/4a671af228c046e0bb7d84120322b5c9
Autor:
Sheng-Kai Huang, Wen-June Wang
Publikováno v:
IEEE Access, Vol 11, Pp 45222-45232 (2023)
This study proposes a novel multi-robot navigation algorithm with priority order called, in short, PONA2.0. This algorithm is based on the generalized Voronoi diagram and contains an adjustable multipath switching mechanism and a collision prevention
Externí odkaz:
https://doaj.org/article/0454f4c4ec3a47b889254b4e82292438
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