Zobrazeno 1 - 10
of 48
pro vyhledávání: '"Dingxin He"'
Publikováno v:
Sensors, Vol 23, Iss 7, p 3596 (2023)
In this paper, we investigate the algorithms for traversal exploration and path coverage of target regions using multiple agents, enabling the efficient deployment of a set of agents to cover a complex region. First, the original multi-agent path pla
Externí odkaz:
https://doaj.org/article/afb336084d8b4e228d35117284e002ad
Publikováno v:
智能科学与技术学报, Vol 2, Pp 268-274 (2020)
A fast robot sorting method based on lightweight convolutional neural network was proposed to improve the recognition speed and environmental adaptability,especially for sorting complex objects.Firstly,the MobileNet-SSD algorithm was used to detect a
Externí odkaz:
https://doaj.org/article/1db1ae82f6114252b6ec23f5c43b2a11
Publikováno v:
International Journal of Molecular Sciences, Vol 24, Iss 2, p 1522 (2023)
Dendrobium denneanum is an important medicinal and ornamental plant. Its ornamental and medicinal values are affected by its vegetative growth conditions and chemical composition accumulation. This study adopted an orthogonal experimental design to t
Externí odkaz:
https://doaj.org/article/8334e34d5933419d91fb18465dccaa72
Publikováno v:
Sensors, Vol 22, Iss 22, p 8938 (2022)
In this work, we studied the area coverage control problem (ACCP) based on the time cost metric of a robot network with an input disturbance in a dynamic environment, which was modeled by a time-varying risk density function. A coverage control metho
Externí odkaz:
https://doaj.org/article/8f38b0e6801042eea006a7d8393e100f
Publikováno v:
Sensors, Vol 21, Iss 16, p 5522 (2021)
Currently, simultaneous localization and mapping (SLAM) is one of the main research topics in the robotics field. Visual-inertia SLAM, which consists of a camera and an inertial measurement unit (IMU), can significantly improve robustness and enable
Externí odkaz:
https://doaj.org/article/d9164c476ef34a8dbffcc2c7e584885c
Publikováno v:
Complexity, Vol 2018 (2018)
Adaptive Monte Carlo localization (AMCL) algorithm has a limited pose accuracy because of the nonconvexity of the laser sensor model, the complex and unstructured features of the working environment, the randomness of particle sampling, and the final
Externí odkaz:
https://doaj.org/article/5174b5e8f9bb41e29745d20581d495b9
To address the weak observability of monocular visual-inertial odometers on ground-based mobile robots, this paper proposes a monocular inertial SLAM algorithm combined with wheel speed anomaly detection. The algorithm uses a wheel speed odometer pre
Externí odkaz:
http://arxiv.org/abs/2003.09901
The visual SLAM method is widely used for self-localization and mapping in complex environments. Visual-inertia SLAM, which combines a camera with IMU, can significantly improve the robustness and enable scale weak-visibility, whereas monocular visua
Externí odkaz:
http://arxiv.org/abs/2003.01496
Publikováno v:
IEEE Transactions on Circuits and Systems II: Express Briefs. 69:3510-3514
In this paper, a model-free fractional-order adaptive prescribed performance controller (MFF-APPC) is designed for mechatronic systems in presence of uncertainties, external disturbances and actuator failure. The MFF-APPC is composed of ultra-local m
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d3063121abd83ba17d86e162b8381173
https://doi.org/10.21203/rs.3.rs-2767540/v1
https://doi.org/10.21203/rs.3.rs-2767540/v1