This paper considers the problem of eigenstructure assignment for output feedback control. We introduce a new method for partial eigenstructure assignment, which allows to place the eigenelements (λi,v i,wi) simultan...
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ISBN:
(纸本)9789898565709
This paper considers the problem of eigenstructure assignment for output feedback control. We introduce a new method for partial eigenstructure assignment, which allows to place the eigenelements (λi,v i,wi) simultaneously. This is possible by a combination of linear algebra and nonlinear optimization techniques. The advantage of the new approach is illustrated through the control of a launcher in atmospheric flight.
In this paper, we propose using an approach based on the system-level programming language SystemJ extended with service oriented features, called SOSJ, to design dynamic interoperable software systems. The approach a...
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ISBN:
(纸本)9781538608371
In this paper, we propose using an approach based on the system-level programming language SystemJ extended with service oriented features, called SOSJ, to design dynamic interoperable software systems. The approach abstracts and integrates the worlds of automation and robotics systems by using a simple service interface based on abstract objects within SOSJ. We demonstrate our approach in a real-life automated bottling system scenario that uses multiple FESTO modular stations operating in SOSJ and integrating them with two Baxter robots operating in ROS without the need for any modification of the underlying mechatronics or robotics systems.
The aim of this paper is to describe a research roadmap for a multi-domain model-driven embedded systems design approach and the corresponding meta-model which is applicable to the domain of complex Industrial Automat...
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ISBN:
(纸本)9781424437597
The aim of this paper is to describe a research roadmap for a multi-domain model-driven embedded systems design approach and the corresponding meta-model which is applicable to the domain of complex Industrial automation and control Systems (IACS). The special requirements of the industrial automation sector are taken into account by this novel approach, utilizing existing model-driven techniques. This approach is currently being developed in the Framework Seven (FP7) Embedded Systems Design project MEDEIA funded by the European Commission.
In today's complex enterprise environments, providing continuous service for applications is a key component of a successful robotized implementing of manufacturing. High availability (HA) is one of the components...
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ISBN:
(纸本)9789728865832
In today's complex enterprise environments, providing continuous service for applications is a key component of a successful robotized implementing of manufacturing. High availability (HA) is one of the components contributing to continuous service provision for applications, by masking or eliminating both planned and unplanned systems and application downtime. This is achieved through the elimination of hardware and software single points of failure (SPOF). A high availability solution will ensure that the failure of any component of the solution - either hardware, software or system management, will not cause the application and its data to become permanently unavailable. High availability solutions should eliminate single points of failure through appropriate design, planning, hardware selection, software configuring, application control, carefully environment control and change management discipline. In short, one can define high availability as the process of ensuring an application is available for use by duplicating and/or sharing hardware resources managed by a specialized software component. A high availability solution in robotized manufacturing provides automated failure detection, diagnosis, application recovery, and node (robot controller) re integration. The paper discusses the implementing of a high availability solution in a robotized manufacturing line.
Visual appearance based scene recognition has been widely studied in the past decade. However, such systems still present failures in dynamic, heterogeneous urban environments. This paper presents a methodology in ord...
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ISBN:
(纸本)9781467307024
Visual appearance based scene recognition has been widely studied in the past decade. However, such systems still present failures in dynamic, heterogeneous urban environments. This paper presents a methodology in order to integrate an advanced Adaptive Appearance Based Loop-Closing Detection algorithm into a graph optimization based Simultaneous Localization and Mapping algorithm. The system described uses stereo visual data, captured in discrete locations in order to detect loop-closure situations and to build, respectively update the topological map of a large, complex environment.
The paper presents a simultaneous force and length variation mode in shape memory alloy (SMA) robotic application. The robotic ankle contains four SMA actuators and a spherical articulation. In order to assure a high ...
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ISBN:
(纸本)9789728865832
The paper presents a simultaneous force and length variation mode in shape memory alloy (SMA) robotic application. The robotic ankle contains four SMA actuators and a spherical articulation. In order to assure a high efficient robotic architecture, the mechanical and the control structure have to assure a real-time response to the work environment changes. The load variations or the difference between the moment of full contact step and the non contact moment for a waking robot are the standard situations for a SMA robotic ankle. The paper is divided in five sections. First section makes a short introduction in the physical description and conventional applications of shape memory alloy materials. Then, are presented the mathematical model for robotic ankle, the walking robot geometrical structure and the causality ordering of the active pair of legs, in this case with one free joint. In the last section some experimental results are presented. These results were obtained by using MATLAB programs, conceived by authors, for design and simulation of walking robots control algorithms.
Small sized robotic systems have operational advantages compared to large systems. They can also operate in fields of application where bigger systems would fail. This paper describes the specifications and the design...
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ISBN:
(纸本)9789897581984
Small sized robotic systems have operational advantages compared to large systems. They can also operate in fields of application where bigger systems would fail. This paper describes the specifications and the design of the autonomous underwater vehicle mu AUV(2). Technical details of the system regarding sensor setup, motorization and computing power are given. Furthermore, we present details about the system identification process and the implemented controller structure. Possible scopes of the mu AUV(2) are underwater exploration, inspection tasks, development and evaluation of algorithms, education and competitions.
This paper is devoted to the navigation of a robot in orchard headlands using embedded sensors such as lasers, Lidars or cameras. The main idea is to consider a differential robot model directly in polar coordinates a...
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ISBN:
(纸本)9789897583803
This paper is devoted to the navigation of a robot in orchard headlands using embedded sensors such as lasers, Lidars or cameras. The main idea is to consider a differential robot model directly in polar coordinates and not in Cartesian coordinates which makes it possible to obtain simpler expressions of the outputs. Then two nonlinear output state feedback controllers are proposed to track two shapes based on spirals allowing to go from one row of fruit trees to another. These controllers are based on an input to output linearization and proved to be very efficient on simulations.
This paper proposes a new approach for feature importance of neural networks and subsequently a methodology using the novel feature importance to determine useful sensor information in high performance controllers, us...
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ISBN:
(纸本)9789897584428
This paper proposes a new approach for feature importance of neural networks and subsequently a methodology using the novel feature importance to determine useful sensor information in high performance controllers, using a trained neural network that predicts the quasi-optimal gain in real time. The neural network is trained using the Covariance Matrix Adaptation Evolution Strategy (CMA-ES) algorithm, in order to lower a given objective function. The important sensor information for robotic control are determined using the described methodology. Then a proposed improvement to the tested control law is given, and compared with the neural network's gain prediction method for real time gain tuning. As a results, crucial information about the importance of a given sensory information for robotic control is determined, and shown to improve the performance of existing controllers.
Reinforcement learning is an extremely useful paradigm which is able to solve problems in those domains where it is difficult to get a set of examples of how the system should work. Nevertheless, there are important p...
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ISBN:
(纸本)9728865600
Reinforcement learning is an extremely useful paradigm which is able to solve problems in those domains where it is difficult to get a set of examples of how the system should work. Nevertheless, there are important problems associated with this paradigm which make the learning process more unstable and its convergence slower. In our case, to overcome one of the main problems (exploration versus exploitation trade off), we propose a combination of reinforcement learning with genetic algorithms, where both paradigms influence each other in such a way that the drawbacks of each paradigm are balanced with the benefits of the other. The application of our proposal to solve a problem in mobile robotics shows its usefulness and high performance, as it is able to find a stable solution in a short period of time. The usefulness of our approach is highlighted through the application of the system learnt through our proposal to control the real robot.
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