Field Programmable Gate Array (FPGA) is a general purpose programmable logic device that can be configured by a customer after manufacturing to perform from a simple logic gate operations to complex systems on chip or even artificial intelligence systems. Scientific publications related to FPGA started in 1992 and, up to now, we found more than 70,000 documents in the two leading scientific databases (Scopus and Clarivative Web of Science). These publications show the vast range of applications based on FPGAs, from the new mechanism that enables the magnetic suspension system for the kilogram redefinition, to the Mars rovers’ navigation systems. This paper reviews the top FPGAs’ applications by a scientometric analysis in ScientoPy, covering publications related to FPGAs from 1992 to 2018. Here we found the top 150 applications that we divided into the following categories: digital control, communication interfaces, networking, computer security, cryptography techniques, machine learning, digital signal processing, image and video processing, big data, computer algorithms and other applications. Also, we present an evolution and trend analysis of the related applications.

Field Programmable Gate Array Applications—A Scientometric Review

Automated fiber placement (AFP) is a composite manufacturing technique used to fabricate complex advanced air vehicle structures that are lightweight with superior qualities. The AFP process is intricate and complex with various phases of design, process planning, manufacturing, and inspection. An understanding of each of these phases is necessary to achieve the highest possible manufacturing quality. This literature review aims to summarize the entire AFP process from the design of the structure through inspection of the manufactured part to generate an overall understanding of the lifecycle of AFP manufacturing. The review culminates with highlighting the challenges and future directions for AFP with the goal of achieving a closed loop AFP process.

Automated fiber placement: A review of history, current technologies, and future paths forward

In this paper, robot vision servo technology is reviewed. This paper introduces the concept and history of robot vision servo system. The robot vision control system is classified from different perspectives, focusing on the location-based visual servo system, image-based visual servo system and 2.5-D visual servo system. And pointed out the problems existing in the current research and the future development direction.

A Review of Robot Control with Visual Servoing

With the advances in new-generation information technologies (New IT), such as internet of things (IoT), cloud computing, and big data, etc., the big data-driven smart manufacturing era is coming. The volume of data generated and collected in manufacturing process is explosively growing, and big data need to be transmitted from data resources to a fog or a cloud platform. However, some practical limitations, such as overfull bandwidth, and data loss, confine the promotion of smart manufacturing. The limiting capacity of current data communication technologies becomes the bottleneck for smart manufacturing systems. In this paper, fibre channel (FC) switch based on field programmable gate array (FPGA) is designed and implemented due to its high speed, low latency, and high performance transmission capacities. Categories of comparative experiments were conducted and a case study is presented, which indicate that the designed FC switch meets the need of big data transmission for smart manufacturing. Its advanced capacity of transmitting and processing big data opens a bright perspective for smart manufacturing.

A field programmable gate array implemented fibre channel switch for big data communication towards smart manufacturing

Most robot controllers are proprietary and, therefore, they have a closed architecture, and it is typical for robot vendors not to provide support for old control units; hence, when a deprecated robot requires an update or even a simple preventive maintenance, the manufacturer tends to recommend disposing such a unit and to acquire a new one. In this paper, the development of a field programmable gate array-based motion control system is described as part of an open-architecture and vendor-independent control system tested on a Fanuc S420F. As a way to measure the performance of the developed system, an experimental test is carried out to achieve a path tracking RMS error lower than 20 mm at a Cartesian velocity of 500 mm/s. Results demonstrate that the proposed system achieves the same feed rates as the original controller with the significant advantage of being modular, flexible, scalable, and reconfigurable.

An FPGA-Based Open Architecture Industrial Robot Controller

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Experiences on using Arduino for laboratory experiments of Automatic Control and Robotics

FPGA-based architecture for direct visual control robotic systems

http://rua.ua.es/dspace/bitstream/10045/73370/2/2018_Pomares_etal_AdvSpaceRes_accepted.pdf

Concurrent image-based visual servoing with adaptive zooming for non-cooperative rendezvous maneuvers

This paper presents an embedded architecture based on field programmable gate arrays technology to implement direct visual controllers. These controllers directly generate the joint torques to perform visual servoing tasks taking into account the robot dynamics. Additionally, the concept of dynamic perceptibility, which provides information about the system capability to track objects using direct visual servoing, is defined. This concept is integrated in the proposed controllers and implemented in the embedded architecture for robot and image singularity avoidance. To do this, the paper presents an optimal control framework for direct visual servoing robots which integrates the concept of dynamic perceptibility. This paper presents the formulation of the optimal framework and details the implementation of one of the derived controllers in the FPGA-based architecture. In order to evaluate the proposed architecture, the FPGA architecture is applied to two different robots. The first one is the industrial robot Mitsubishi PA10 with 7 degrees of freedom and the second one is a 4 degrees of freedom robot designed by the authors. Additionally, different experiments are described to show the system behavior when a trajectory close to a singularity is obtained. FPGA-based architecture for visual control robot manipulators.Dynamic perceptibility to guide robots using direct visual servoing.Parallel architecture for controlling robots behavior.Trajectory optimization for singularity avoidance.

FPGA-based visual control system using dynamic perceptibility

This paper presents a new framework based on optimal control to define new dynamic visual controllers to carry out the guidance of any serial link structure. The proposed general method employs optimal control to obtain the desired behaviour in the joint space based on an indicated cost function which determines how the control effort is distributed over the joints. The proposed approach allows the development of new direct visual controllers for any mechanical joint system with redundancy. Finally, authors show experimental results and verifications on a real robotic system for some derived controllers obtained from the control framework.

/pdf/direct-visual-servoing-framework-based-on-optimal-control-4qr9hmvyvw.pdf

Javier Pérez

Papers

Experiences on using Arduino for laboratory experiments of Automatic Control and Robotics

FPGA-based architecture for direct visual control robotic systems

Concurrent image-based visual servoing with adaptive zooming for non-cooperative rendezvous maneuvers

FPGA-based visual control system using dynamic perceptibility

Direct visual servoing framework based on optimal control for redundant joint structures