Zobrazeno 1 - 10
of 12
pro vyhledávání: '"Shushuai Li"'
Publikováno v:
2022 International Conference on Robotics and Automation (ICRA).
Relative localization is an important ability for multiple robots to perform cooperative tasks in GPS-denied environment. This paper presents a novel autonomous positioning framework for monocular relative localization of multiple tiny flying robots.
Publikováno v:
Delft University of Technology
International Journal of Micro Air Vehicles, 14
International Journal of Micro Air Vehicles, 14
Wireless ranging measurements have been proposed for enabling multiple Micro Air Vehicles (MAVs) to localize with respect to each other. However, the high-dimensional relative states are weakly observable due to the scalar distance measurement. Hence
Autor:
Bardienus P. Duisterhof, Shushuai Li, Javier Burgues, Vijay Janapa Reddi, Guido C. H. E. de Croon
Nano quadcopters are ideal for gas source localization (GSL) as they are safe, agile and inexpensive. However, their extremely restricted sensors and computational resources make GSL a daunting challenge. In this work, we propose a novel bug algorith
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d369d6f41e193286a6d561032584ef3a
http://arxiv.org/abs/2107.05490
http://arxiv.org/abs/2107.05490
Publikováno v:
Nonlinear Dynamics. 89:255-265
This paper proposes a novel adaptive robust controller for the position and attitude tracking of quadrotor unmanned aerial vehicles subjected to additive disturbances and parameter uncertainties. The nonlinear dynamic equations of the quadrotor are o
Publikováno v:
Neurocomputing. 216:126-134
This paper presents a novel hierarchical control strategy based on adaptive radical basis function neural networks (RBFNNs) and double-loop integral sliding mode control (IntSMC) for the position and attitude tracing of quadrotor unmanned aerial vehi
Publikováno v:
IEEE Robotics and Automation Letters, 4(4)
Autonomous robots heavily rely on well-tuned state estimation filters for successful control. This letter presents a novel automatic tuning strategy for learning filter parameters by minimizing the innovation, i.e., the discrepancy between expected a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b088dbc194390ff1f5b594b6aa35b453
http://resolver.tudelft.nl/uuid:472910ea-814e-48f0-b8b9-4302ef029cf5
http://resolver.tudelft.nl/uuid:472910ea-814e-48f0-b8b9-4302ef029cf5
Publikováno v:
Journal of Materials Research and Technology, Vol 24, Iss , Pp 2018-2027 (2023)
By means of direct current electrodeposition, Cu foil with columnar grain growth and equiaxed grain growth with different average grain sizes were prepared. Electron backscatter diffraction (EBSD), X-ray diffraction (XRD), atomic force microscopy (AF
Externí odkaz:
https://doaj.org/article/47cb65cbd8c7430ea06b2c3e163d15d8
Autor:
Jingbin Liu, Jingyi Hu, Mengyu Li, Guiliang Liu, Yuying Wu, Tong Gao, Shushuai Liu, Xiangfa Liu
Publikováno v:
Materials, Vol 17, Iss 9, p 2022 (2024)
Here, 0.3 wt.%Zr was introduced in an Al-4 wt.%Cu-0.5 wt.%Mn-0.1 wt.%Fe alloy to investigate its influence on the microstructure and mechanical properties of the alloy. The microstructures of both as-cast and T6-treated Al–Cu–Mn–Fe (ACMF) and A
Externí odkaz:
https://doaj.org/article/9bf2f63917a3432fb6ae16b6a1507bc5
Publikováno v:
2016 12th IEEE/ASME International Conference on Mechatronic and Embedded Systems and Applications (MESA).
This paper presents an on-line estimator that incorporates adaptive MIMO radical basis function neural networks (RBFNNs) for model identification of quadrotor unmanned aerial vehicles (UAVs). The inputs and outputs of quadrotor aircrafts can be obtai