Browsing by Author "Asif, Seemal"
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Item Open Access Communication components for Human Intention Prediction – a survey(AHFE International, 2023-07-24) Khan, Fahad; Asif, Seemal; Webb, PhilIn this review we address the communication components for human intention prediction for Human-robot collaboration (HRC). The HRC is the approach in which human and robot(s) work towards achieving the same goal. The interaction can be both levels physical and cognitive. The traditional settings of the HRC system provides fixed robot program based on waypoints or gestures. It is difficult to predefine the instructions of the situation in complex and variable environment. The understanding of human intention on dynamic basis is crucial for the success of such systems. The core character of co-existence of human and the robot is to understand the dynamic scenes of human intentions. To understand the human intention there is need to understand the components of intention communication. This paper provides comprehensive overview about the understanding the intention as communication components and modelling those components by using machine learning technology in HRC. Multiple ways of communicating intention are possible by using speech, action, gesture, haptic, physiological signals, etc. The article details various approaches to understand the human intention communication aspect particularly in the Human Robot Collaboration setting.Item Open Access Contactless medium scale industrial robot collaboration(OMICS International, 2016-03-11) Asif, Seemal; Webb, PhilipThe growing cost of High-Value/Mix and Low Volume (HMLV) industries like Aerospace is heavily based on industrial robots and manual operations done by operators [1]. Robots are excellent in repeatability by HMLV industries need changes with every single product. On the other hand human workforce is good at variability and intelligence but cost a lot as production rate is not comparable to robots and machines. There are flexible systems which have been specifically introduced for this type of industry FLEXA is one of them. But still there is need of collaboration between human and robot to get the flexible and cost effective solution [2]. A comprehensive survey has been conducted specifically on the issue of Human Robot collaboration [3] which laid out many advantages of this approach includes flexibility, cost-effectiveness and use of robot as intelligent assistant. There are several attempts have been made for Human Robot Collaboration for HMLV industry and Chen et al. attempt is one of them.Item Open Access Enhanced cell controller for aerospace manufacturing(OMICS International, 2016-04-30) Asif, Seemal; Webb, PhilipAerospace manufacturing industry is unique in that production typically focuses on high variety and quality but extremely low volume. Manufacturing processes are also sometimes unique and not repeatable and, hence, costly. Production is getting more expensive with the introduction of industrial robots and their cells. This paper describes the development of the Flexa Cell Coordinator (FCC), a system that is providing a solution to manage resources at assembly cell level. It can control, organise and coordinate between the resources and is capable of controlling remote cells and resources because of its distributed nature. It also gives insight of a system to the higher management via its rich reporting facility and connectivity with company systems e.g., Enterprise Resource Planner (ERP). It is able to control various kinds of cells and resources (network based) which are not limited to robots and machines. It is extendable and capable of adding multiple numbers of cells inside the system. It also provides the facility of scheduling the task to avoid the deadlocking in the process. In FCC resources (e.g., tracker) can also be shared between cells.Item Open Access Examining the societal impact and legislative requirements of deepfake technology: a comprehensive study(EJournal Publishing, 2024-03-29) Alanazi, Sami; Asif, Seemal; Moulitsas, IreneDeepfakes, highly realistic fabricated videos, images, or audios created using artificial intelligence algorithms, have gained widespread attention and raised concerns about their social impact and ethical implications. While initially seen as a source of entertainment and utilized in commercial applications, deepfake technology has increasingly been misused for creating adult content, blackmailing individuals, spreading misinformation, and manipulating memories. The negative consequences of deepfakes extend beyond individuals, impacting society as a whole, particularly during sensitive times like elections, where trust can be undermined. The paper looks at the social implications and legislative considerations for deepfakes content, with the goal of cultivating a thorough understanding of their impact on society. By highlighting the importance of enacting laws and regulations, the paper emphasizes the pressing need to control their widespread dissemination. Deepfakes have broad societal implications, especially during critical events like elections, eroding trust. This survey delves into deepfake complexities, aiming to foster understanding and emphasizing the urgency of regulation. The paper also discusses the positive outcomes of deepfake technology for intellectual property protection, highlighting the FORGE system developed to trick attackers who steal company documents. However, it emphasizes the risks posed by easily accessible websites that facilitate the creation of fake identification documents, increasing the likelihood of identity theft, criminal activities, and fraudulent transactions. Implementing restrictions on the use of deepfake technology involving children is also crucial to prevent harm and manipulation targeting minors.Item Open Access A framework for controlling multiple industrial robots using mobile applications(SciDoc Publishers, 2021-09-08) Alvarado, Daniela; Asif, SeemalPurpose: Over the last few decades, the development of the hardware and software has enabled the application of advanced systems. In the robotics field, the UI design is an intriguing area to be explored due to the creation of devices with a wide range of functionalities in a reduced size. Moreover, the idea of using the same UI to control several systems arouses a great interest considering that this involves less learning effort and time for the users. Therefore, this paper will present a mobile application to control two industrial robots with four modes of operation. Design/methodology/approach: The smartphone was selected to be the interface due to its wide range of capabilities and the MIT Inventor App was used to create the application, whose environment is supported by Android smartphones. For the validation, ROS was used since it is a fundamental framework utilised in industrial robotics and the Arduino Uno was used to establish the data transmission between the smartphone and the board NVIDIA Jetson TX2. In MIT Inventor App, the graphical interface was created to visualize the options available in the app whereas two scripts in python were programmed to perform the simulations in ROS and carry out the tests. Findings: The results indicated that the use of the sliders to control the robots is more favourable than the Orientation Sensor due to the sensibility of the sensor and human limitations to hold the smartphone perfectly still. Another important finding was the limitations of the autonomous mode, in which the robot grabs an object. In this case, the configuration of the Kinect camera and the controllers has a significant impact on the success of the simulation. Finally, it was observed that the delay was appropriate despite the use of the Arduino UNO to transfer the data between the Smartphone and the Nvidia Jetson TX2. Originality/value: The following points show the contributions of this paper to the robotic field. • Developed a robust application combining four different modes of functionality. • Create a program with an intuitive interface and simple use that allows controlling different robotics arms with just one UI. • Evaluate the applicability of the simulated industrial robots in ROS since the projects must be tested in a framework before implementing it in real robots.Item Open Access An improved cell controller for the aerospace manufacturing(Cranfield University Press, 2013-09-19) Asif, Seemal; Webb, PhilipThe aerospace manufacturing industry is unique in that production typically focuses on high variety and quality but low volume. Existing flexible manufacturing cells are limited to certain types of machines, robots and cells which makes it difficult to introduce any changes. In this paper idea of treating machines, robots, any hardware and software as resource has been introduced. It describes the development of the Flexa Cell Coordinator (FCC), a system that is providing a solution to manage cells and their resources in a new flexible manner. It can control, organise and coordinate between cells and resources and is capable of controlling remote cells because of its distributed nature. It also provides connectivity with company systems e.g., Enterprise Resource Planner (ERP). It is extendable and capable of adding multiple cells inside the system. In FCC resources (e.g., tracker) can also be shared between cells. The paper presents its development and results of initial successful testing.Item Open Access Kinematics analysis of 6-DoF articulated robot with spherical wrist(Hindawi Publishing Corporation, 2021-02-02) Asif, Seemal; Webb, PhilipThe aim of the paper is to study the kinematics of the manipulator. The articulated robot with a spherical wrist has been used for this purpose. The Comau NM45 Manipulator has been chosen for the kinematic model study. The manipulator contains six revolution joints. Pieper’s approach has been employed to study the kinematics (inverse) of the robot manipulator. Using this approach, the inverse kinematic problem is divided into two small less complex problems. This reduces the time of analysing the manipulator kinematically. The forward and inverse kinematics has been performed, and mathematical solutions are detailed based on D-H (Denavit–Hartenberg) parameters. The kinematics solution has been verified by solving the manipulator’s motion. It has been observed that the model is accurate as the motion trajectory was smoothly followed by the manipulator.Item Open Access Networked control system – an overview(Foundation of Computer Science, 2015-04-22) Asif, Seemal; Webb, PhilipNetworked Control System (NCS) is fetching researchers’ interest from many decades. It’s been used in industry which range from manufacturing, automobile, aviation, aerospace to military. This paper gives the general architecture of NCS and its fundamental routes. It also touches to its advantages and disadvantages and some of the popular controller which include PID (Proportional-Integral-Derivative) and MPC (Model Predictive Control).Item Open Access Realtime calibration of an industrial robot(MDPI, 2022-09-30) Asif, Seemal; Webb, PhilIn large scale, complex and low volume manufacturing systems, robotics are now considered unavoidable for automating the factory operations. The aerospace industry focuses on a high variety and quality but extremely low volume. The precision it requires for numerous tasks is unique and distinct from any other manufacturing industry. This can comprise accurate position, module assembly, inspection, fastening, etc. The scale of the robot invites different types of errors during operation, which can be either because of the kinematics of the robot or because of the environment (noise, temperature, load, etc.). There are packages available from robot manufacturers for the correction and compensation of errors on the robot to achieve accuracy. There are two associated problems: 1. cost and 2. static nature. They are very costly and they do not provide correction in realtime fashion (dynamic); the robot stops, waits for the correction, and then moves to the next position. The external tool to monitor the accuracy also requires attaching with the robot permanently. These are dedicated resources. These tools for accurate measurement are expensive and attached permanently to a robot, which means wastage of resources. These measuring tools are called metrology devices and attaching these devices and the robot to the network means that other robots/machines can also use these expensive tools for measurement. Our aim was to address two problems in this project: 1. calibration (error correction and compensation of robot) and 2. dynamic and realtime processing. It helped to perform the dynamic error correction and the compensation of an industrial robot. The results showed the error correction was achieved in the region of 0.02 mm.Item Open Access Software system integration - Middleware - an overview(Foundation of Computer Science, 2015-07-01) Asif, Seemal; Webb, PhilipThe integration of different softwares written in different language and based on different platforms can be tricky. In that situation a middleware is necessary to enable the communication between different softwares. The middleware enables the software system not only to share data but also share the services. This paper gives an overview of some of middleware technologies which can be used to integrate different software systems.Item Open Access Understanding deepfakes: a comprehensive analysis of creation, generation, and detection(AHFE International, 2023-07-24) Alanazi, Sami; Asif, SeemalThis paper provides a comprehensive analysis of deepfakes, focusing on their creation, generation, and detection. Deepfakes are realistic fabricated videos, images, or audios generated using artificial intelligence algorithms. While initially seen as a source of entertainment and commercial applications, the negative social consequences of deepfakes have become apparent. They are misused for creating adult content, blackmailing individuals, and spreading misinformation, leading to a decline in trust and potential societal implications. The paper also discusses the importance of legislation in regulating the use of deepfakes and explores techniques for their detection, including machine learning and natural language processing. Understanding deepfakes is essential to address their ethical and legal implications in today's digital landscape.Item Open Access Vortex and core detection using computer vision and machine learning methods(River Publishers, 2023-12-29) Xu, Zhenguo; Maria, Ayush; Chelli, Kahina; De Premare, Thibaut Dumouchel; Bilbao, Xabadin; Petit, Christopher; Zoumboulis-Airey, Robert; Moulitsas, Irene; Teschner, Tom; Asif, Seemal; Li, JunThe identification of vortices and cores is crucial for understanding airflow motion in aerodynamics. Currently, numerous methods in Computer Vision and Machine Learning exist for detecting vortices and cores. This research develops a comprehensive framework by combining classic Computer Vision and state-of-the-art Machine Learning techniques for vortex and core detection. It enhances a CNN-based method using Computer Vision algorithms for Feature Engineering and then adopts an Ensemble Learning approach for vortex core classification, through which false positives, false negatives, and computational costs are reduced. Specifically, four features, i.e., Contour Area, Aspect Ratio, Area Difference, and Moment Centre, are employed to identify vortex regions using YOLOv5s, followed by a hard voting classifier based on Random Forest, Adaptive Boosting, and Xtreme Gradient Boosting algorithms for vortex core detection. This novel approach differs from traditional Computer Vision approaches using mathematical variables and image features such as HAAR and SIFT for vortex core detection. The findings show that vortices are detected with a high degree of statistical confidence by a fine-tuned YOLOv5s model, and the integrated technique produces an accuracy score of 97.56% in detecting vortex cores conducted on a total of 133 images generated from a rotor blade NACA0012 simulation. Future work will focus on framework generalisation with a larger and more diverse dataset and intelligent threshold development for more efficient vortex and core detection.