Vision-based formation control of aerial robots in the presence of sensor failure

Abbasi, Y.; Moosavian, S. Ali A.; Novinzadeh, Alireza Basohbat

doi:10.1007/s12206-017-0242-x

Cited by 8 publications

(3 citation statements)

References 16 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Abbasi et al pointed out that this article introduced vision-based aerial robot formation flight control, with special attention to failures in visual communication [2]. Masson et al pointed out that the LIRIS demonstrator is a vision-based navigation sensor experiment, implemented on the ATV-5 George Lemaitre, and activated during the approach phase with the International Space Station (ISS) [3]. Sakuma et al pointed out that skeletal muscle provides the basic foundation for human function, making movement and breathing possible.…”

Section: Introductionmentioning

confidence: 99%

[Retracted] Research Progress on the Molecular Mechanism of EGCG3″Me in the Treatment of Diabetes Based on Visual Sensor Images

2021

Journal of Sensors

View full text Add to dashboard Cite

Diabetes is a chronic metabolic disease with abnormal blood glucose and lipid metabolism caused by insufficient insulin secretion, which seriously affects human health. For solving the problem of treating diabetes, it is particularly important to observe the research progress of the molecular mechanism of EGCG3 ″ Me in the treatment of diabetes based on visual sensor images. This research has not been verified in practice, but many scientists are already studying it. This article is aimed at studying the molecular mechanism of using EGCG3 ″ Me to treat diabetes based on visual sensor images. This article introduces the concept and application of visual image sensor in detail, using a superpixel segmentation method to realize image observation. The EGCG3 ″ Me was extracted and used in diabetes treatment experiments. The experimental results showed that the blood glucose of the mice in the experimental group had returned to normal 60 minutes after the administration of glucose in the blank control group, and the blood glucose of the mice in the control group had basically returned to normal after 120 minutes. Compared with the model group, the number of acinar paging and the number of cells in the pancreatic islets increased in the mice after EGCG3 ″ Me treatment, indicating that EGCG3 ″ Me has the effect of protecting and repairing pancreatic islet cells.

show abstract

Section: Introductionmentioning

confidence: 99%

[Retracted] Research Progress on the Molecular Mechanism of EGCG3″Me in the Treatment of Diabetes Based on Visual Sensor Images

2021

Journal of Sensors

View full text Add to dashboard Cite

show abstract

“…The main control methods of multi-robot formation are shown in Figure 1. They mainly include the Leader-Follower method [12], [13], the Behavior-based method [14], [15], and the Artificial Potential Method [16], [17], Virtual Structure method [18], [19], Graph Theory method [20] and so on. Among them, pilot-following method, behavior-based method and artificial potential field method are suitable for distributed control, while the virtual structure method and graph theory method are suitable for centralized control.…”

Section: A Multi-robot Formation Control Methodsmentioning

confidence: 99%

Robot Formation Control Based on Internet of Things Technology Platform

et al. 2020

View full text Add to dashboard Cite

The cooperative control technology of robot formation can sense all kinds of external environment in real time. It is a multi-functional control and management system including visual recognition, task management execution and distribution, behavior decision-making and so on. It can easily adapt to all kinds of harsh environment. In order to meet the efficient response requirements of robot formation control, a real-time transmission system of robot cooperative motion control is built based on the Internet of things platform, which collects and feeds back the trajectory of multiple robots. Through particle swarm optimization deep learning algorithm, more accurate identification, prediction and guidance of the robot's next action. Finally, the simulation of robot formation motion is established by MATLAB software, which verifies the feasibility of particle swarm optimization deep learning neural network algorithm under the Internet of things technology. Compared with the traditional robot formation control method, the optimized control method has faster convergence speed, smaller error and more accurate position, which provides method guidance for the accuracy and efficiency of robot formation control technology. INDEX TERMS Robot, formation cooperative control, Internet of things, particle swarm optimization, deep learning.

show abstract

“…Drones are now present in many daily life activities [ 2 , 6 – 8 ]. They are used in many applications such as inspecting pipelines and power lines, surveillance and mapping, military combat, agriculture, delivery of medicines in remote areas, aerial mapping, and many others [ 2 , 9 – 12 ]. See Figs.…”

Section: Introductionmentioning

confidence: 99%

A review on drones controlled in real-time

Kangunde

Jamisola

Theophilus

2021

Int. J. Dynam. Control

View full text Add to dashboard Cite

This paper presents related literature review on drones or unmanned aerial vehicles that are controlled in real-time. Systems in real-time control create more deterministic response such that tasks are guaranteed to be completed within a specified time. This system characteristic is very much desirable for drones that are now required to perform more sophisticated tasks. The reviewed materials presented were chosen to highlight drones that are controlled in real time, and to include technologies used in different applications of drones. Progress has been made in the development of highly maneuverable drones for applications such as monitoring, aerial mapping, military combat, agriculture, etc. The control of such highly maneuverable vehicles presents challenges such as real-time response, workload management, and complex control. This paper endeavours to discuss real-time aspects of drones control as well as possible implementation of real-time flight control system to enhance drones performance.

show abstract

Vision-based formation control of aerial robots in the presence of sensor failure

Cited by 8 publications

References 16 publications

[Retracted] Research Progress on the Molecular Mechanism of EGCG3″Me in the Treatment of Diabetes Based on Visual Sensor Images

[Retracted] Research Progress on the Molecular Mechanism of EGCG3″Me in the Treatment of Diabetes Based on Visual Sensor Images

Robot Formation Control Based on Internet of Things Technology Platform

A review on drones controlled in real-time

Contact Info

Product

Resources

About