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Autonomous system (mathematics)

About: Autonomous system (mathematics) is a research topic. Over the lifetime, 1648 publications have been published within this topic receiving 38373 citations.


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Proceedings ArticleDOI
17 Jun 2019
TL;DR: The ROBUST control framework and the task priority based kinematic used for its implementation are presented and software in the loop simulation, dry and pool test results are shown to validate the control framework addressed.
Abstract: This paper presents the control framework developed within the Horizon 2020 ROBUST project aimed at building an autonomous system for exploring deep sea mining sites. First, the Autonomous Underwater Vehicle analyzes the initial zone of interest with the aim of finding a sub area with the highest probability to contain a manganese nodule field. When such an area is found, a low altitude survey is performed. When a possible nodule is detected, the vehicle lands on the seafloor, allowing a dedicated sensor mounted on the manipulator’s end-effector to perform the nodule analysis.This work presents the ROBUST control framework and the task priority based kinematic used for its implementation. In addition, software in the loop simulation, dry and pool test results are shown to validate the control framework addressed.

4 citations

Proceedings ArticleDOI
10 Jul 2000
TL;DR: In this article, the authors discuss the research developed in their lab these past years, leading to autonomous robots evolving in non-cooperative, even hostile outdoor environments, and discuss the methods used to evolve these robots.
Abstract: We discuss the research developed in our lab these past years, leading to autonomous robots evolving in non-cooperative, even hostile outdoor environments.

4 citations

Journal ArticleDOI
TL;DR: This paper proposes a method of non-autonomous feedback control, and proves its validity by the stability theory, used in numerical emulation of energy resource chaotic system and Arneodo system.
Abstract: This paper proposes a method of non-autonomous feedback control, and proves its validity by the stability theory. This method is used in numerical emulation of energy resource chaotic system and Arneodo system. The result indicates that it is correct and feasible.

4 citations

Proceedings ArticleDOI
01 Sep 2016
TL;DR: In this paper, an onboard integrated system for a controlled free running ship model using data acquired from a Motion Reference Unit (MRU) was developed using the reference data, the system performed processing and control through wireless communication (Wi-Fi).
Abstract: This paper presents a work carried out to develop an onboard integrated system for a controlled free running ship model using data acquired from a Motion Reference Unit(MRU). Using the reference data, the system performs processing and control through wireless communication (Wi-Fi). The application of free running model is to investigate the sea keeping and maneuvering characteristics of a ship. In such a scenario there are disturbing external forces and hence a time - position data based closed loop control algorithm is essential. The development provides the nucleus for such a controlled autonomous system. The ship based integrated system consists of azimuth propulsion unit, MRU, central processing unit for control, data link and a battery pack for autonomous operation of the ship model. A proportional controller is used with the feedback from the MRU to perform heading control using azimuth propulsion system. Quality of free running model test is improved with this system as compared to traditional facilities with captive model and follower carriage based system.

4 citations

Proceedings ArticleDOI
25 Oct 2004
TL;DR: In this article, a cost-effective way to design robot vision and control software using Matlab for an autonomous robot designed to compete in the 2004 Intelligent Ground Vehicle Competition (IGVC).
Abstract: The purpose of this paper is to introduce a cost-effective way to design robot vision and control software using Matlab for an autonomous robot designed to compete in the 2004 Intelligent Ground Vehicle Competition (IGVC). The goal of the autonomous challenge event is for the robot to autonomously navigate an outdoor obstacle course bounded by solid and dashed lines on the ground. Visual input data is provided by a DV camcorder at 160 x 120 pixel resolution. The design of this system involved writing an image-processing algorithm using hue, satuaration, and brightness (HSB) color filtering and Matlab image processing functions to extract the centroid, area, and orientation of the connected regions from the scene. These feature vectors are then mapped to linguistic variables that describe the objects in the world environment model. The linguistic variables act as inputs to a fuzzy logic controller designed using the Matlab fuzzy logic toolbox, which provides the knowledge and intelligence component necessary to achieve the desired goal. Java provides the central interface to the robot motion control and image acquisition components. Field test results indicate that the Matlab based solution allows for rapid software design, development and modification of our robot system.

4 citations


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Performance
Metrics
No. of papers in the topic in previous years
YearPapers
202315
202228
202167
202081
2019101
201863