Eric H Drabble*, S Spanopoulou, E Sioka, E Politaki, I K Paraskeva, E Palla, L Stockley and D Zacharoulis
DOI: 10.37421/2168-9695.2023.12.249
Marina Lakcevic
The advancement and development of new technologies requires teachers to introduce new teaching resources into the educational process of teaching Informatics and Computing. By introducing mBot in teaching in a creative and interesting way, students' motivation to develop and acquire digital and computer literacy has increased. The work shows mBot as a new, innovative tool that introduces students to the world of programming in a simple way. The results of the empirical research among the students of the seventh and eighth grade confirmed the premise of increasing motivation, as well as the development of the interest and curiosity of students in the field of information and computing. The students also showed great interest in participating in competitions and projects.
Ayush Srivastava*
Kraken 4 is the unmanned undersea vehicle being developed by AUV IITKGP, a team of 20 undergraduate students at IIT Kharagpur. Kraken 4 is an advanced version of our previous AUV, Kraken 3. This report describes the design and development of an AUV for the STUDENT autonomous underwater vehicle event, organized by NIOT, Chennai. This document discusses the general design methodology, modelling and simulation of the proposed conceptual design. With numerous improvements, this design presents a more agile vehicle with increased capabilities over previous vehicles. New advancements include a stronger frame, an improved electrical system and momentous software changes which affords improved mission reliability. The proposed model has 6 degrees of freedom with allowances for a robust navigational payload.
Abhiraj Kumar Gupta*, Harshit Bansal, Ashok Madan
Wire Arc Additive manufacturing also known as WAAM is always been economical and highly efficient technology which is very suited for producing large and complex shaped metallic components using the process of 3D printing. In past few years, it is widely studied in various fields such as automotive, marine as well as aerospace industries. As WAAM has advantage of higher metal deposition rate, lesser machining cost, higher Buy-to-fly ratio and very lesser lead time in comparison to any other powder Additive Manufacturing processes. WAAM had always been noticed topic by many of the industrial engineers and researchers. If we compare WAAM process over any other traditional manufacturing methods, considering the complex shapes and high Buy To Fly Ratio (BTF), WAAM is always proved to be best of them. Therefore, having an advantage of comparatively lesser manufacturing cost, better quality and a higher efficiency WAAM became highly used technique for fabricating a component with a much higher metal deposition rate and least material wastage/least scrap. This paper provides a detailed overview of 3D printing of metallic object by inheriting WAAM technique as manufacturing method. At first, the review introduces metal wire and WAAM technique of 3D printing, followed by WAAM systems that are being used to manufacture 3D component, and analyzing which aims to study metal deposition rate and mechanical properties.
Gardner Frazier*
The arrangement or programming of movements and groupings for a modern robot is commonly instructed by connecting the robot regulator to a PC, personal computer or (inner or Internet) organization. A robot and an assortment of machines or peripherals are alluded to as a work cell, or cell. An average cell may contain a sections feeder, an embellishment machine and a robot. The different machines are 'coordinated' and constrained by a solitary PC or PLC. How the robot associates with different machines in the cell should be modified, both concerning their situations in the cell and synchronizing with them.
Mahmoud Sabra
Mobile robots are becoming more and more part of our industrial world. With the development of robotics, the design of the mobile robot
has become conditioned to the function it has to fulfill. It is important to make a study and understand the difference concepts found in robotics
in order to design the most suitable mobile robot for a certain industry. Holonomy is one of these concepts discussed in this paper.
Holonomic and non-holonomic mobile robots use different wheels where the first is omnidirectional and the latter is limited with its
movement. And thus, which robot to use remains a question in the minds of those running warehouses. In addition to that, it is worth to
explore the different sensors used on vehicles in order to covert them to automated guided vehicles. Understanding the concept of
holonomy, knowing the difference in the performance of holonomic and non- holonomic robots , as well as AGVs systems help in making the
decision suitable for the warehouses.
Muhammad Al-Zahrani
As AI continues to progress, one of the challenges we face is to involve robotics to be automated the tasks that are repetitive, dangerous,
or vulnerable to human error. However, automation without intelligence creates a system that cannot respond to variables, new
environments, or dynamic requirements. So AI provides a perfect platform to develop intelligent bots. By adding cognitive services to the bot,
we can make our bot smart with capabilities like language understanding, image recognition, text recognition, translation, and more.
Bassant Mohammad Elbagoury
Particle Swarm Optimization (PSO) for Intelligent Control of agent autonomous rehabilitation robot is a very complex problem, especially for
stroke patients’ treatments and dealing with real-time EMG sensors readings of muscles activity states and transfer between real-time Human
motions to interface with rehabilitation robot agent or assisted-device. The field of Artificial Intelligence and neural networks plays a
critical role in modern intelligent control interfaces for robot devices. This paper presents a novel hybrid intelligent robot control that acts as
human-robot interaction, where it depends on real-time EMG sensor patients data and extracted features along with estimated knee joint angles
from Extended Kalman Filter method are used for training the intelligent controller using support vector machines trained with Adatron
Learning algorithm for handling huge data values of sensors readings. Moreover, the proposed platform for rehabilitation robot agent is tested
in the framework of the NAO Humanoid Robot agent along with Neurosolutions Toolkit and matlab code. The average overall accuracy of the
proposed intelligent motion SVM-EKF controller shows average high performance that approaches average 96% of knee motions
classifications and also good performance for comparing Extended Kalman filter knee joint angles estimations and real EMG human knee joint
angles in the framework of Human Walk Gait cycle. Also, the basic enhancement of proposing PSO optimization technique for robot knee
motion is discussed for future improvements. The overall algorithm, methodology and experiments are presented in this paper along with
future work.
Suruchi Sinha
In many develop nation share of older people is increasing by 0.2
percent every year and 2 percent over a period of decade. Also, there
has been a decline in life expectancy in member states over the time.
With the increase in disordered lifestyle, psychological
issues, genetic problems, infectious diseases, climate change and
regular pandemic/ epidemic the quality of life is deteriorating. Just
to add, recent pandemic is biggest example to make world realize
that we right now in our biggest time to rethink about a robust,
resilient, advanced and intelligent healthcare ecosystem. To cater the
need the issues for healthcare ecosystem is currently dealing
with data fragmentation, data accessibility issues, fraud issues,
manual entry processes, unsynchronized approach, highly
complex compliance frameworks, hideous information, inefficient
processes creating delays in message passing, data security,
breaches and importantly lots of administrative work done by the
medical professionals which limits research.
Fatmah Abdulrahman Baothman
There is a constant change in the techniques of teaching and learning as a result of artificial Intelligence (AI). In the past, the objective
was to provide an intelligent tutoring system without intervention from a human teacher to enhance skills, control, knowledge
construction, with emotional and intellectual engagement. The present study focuses on enhancing the learning capabilities of
humanoid robot Nao and increasing his intelligence by activating multi-sensory perceptions among 3 to 7 years old children. Here, the multisensory
perceptions include; visual and auditory stimuli modules, speech-related, and body movements. The design and testing processes
were conducted by implementing an AI principle design, namely the three-constituent principle. The study has developed a toolkit that uses a
mixed reality system architecture featuring different ways of interaction between a child and a robot Nao agent. The toolkit enables Arabic
speech recognition, and the Haar algorithm was implemented for robust image recognition to improve the capabilities of the Nao during
interactions with a child in a mixed reality system.
Mohammad Atif Hossain
Auto planning is a branch examination of planning which shows manufacturing, arranging, mechanical instruments similarly as exercises of cars. It is a preface to vehicle planning which oversees cruisers, vehicles, transports, trucks, etc. It fuses branch examination of mechanical, electronic, programming and prosperity parts. A piece of the planning credits and instructs that are of importance to the auto fashioner and huge quantities of various perspectives are associated with it.
DOI: 10.37421/2168-9695.2023.12.245
Emerging evidence suggests that alterations in the composition and function of the gut microbiota contribute to UC development. Researchers have identified specific microbial imbalances associated with the disease and are exploring novel therapeutic approaches targeting the microbiome to restore microbial homeostasis and alleviate symptoms.
DOI: 10.37421/2168-9695.2023.12.267
Code Breakers of the Visual Realm: Motion Imagery Decoding" unveils a ground breaking approach to decoding complex motion imagery, revolutionizing visual data analysis. This research combines advanced algorithms and artificial intelligence to decipher intricate patterns within dynamic visual data, enabling unprecedented insights into motion-based information. The proposed methodology transcends traditional decoding techniques, offering a versatile solution applicable across various domains, from surveillance and security to entertainment and healthcare. By unraveling the intricacies of motion imagery, this study opens new frontiers in computer vision, fostering enhanced understanding, interpretation, and utilization of dynamic visual information in the digital era.
DOI: 10.37421/2168-9695.2023.12.271
DOI: 10.37421/2168-9695.2023.12.274
Advances in Robotics & Automation received 1127 citations as per Google Scholar report
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