Robotics

La co-enseñanza se presenta como un modelo organizativo de apoyo entre docentes con el fin de facilitar la presencia, la participación y el progreso del alumnado y su desarrollo integral en una sociedad cada vez más diversa. Es un modelo de corte inclusivo que promueve la teoría, la práctica y la reflexión con el propósito de realizar una transformación pedagógica a través de la colaboración conjunta entre profesionales. El objetivo de este estudio es identificar cómo se llevan a cabo las sesiones de co-enseñanza en los centros asturianos de educación infantil y primaria y qué fortalezas o debilidades percibe el profesorado ante esta modalidad organizativa. Se realizó un muestreo no probabilístico de conveniencia (ex post facto) y se llevó a cabo un diseño cuantitativo no experimental descriptivo-comparativo. La enseñanza individualizada y personalizada del alumnado y el enriquecimiento profesional destacan como puntos fuertes frente a la falta de tiempo para la planificación y la f...

Artificial Intelligence technology enables organizations to support and improve knowledge management practices. From an AI perspective, knowledge representation defines organizational processes that are familiar with this knowledge. In this era of digitalization, the presence of ChatGPT technology opens opportunities to utilize AI chatbots for education in Indonesia, especially in developing student competencies (skills) needed in the 21st century. Where the purpose of the research is to explain ChatGPT Artificial Intelligence Integration in Science Learning Media. A review is conducted on the state-of-the-art methods using the preferred reporting items for reviews and meta-analyses (PRISMA) guidelines. We review literature from several publications and analyze the Era of Education 4.0 with the help of computers to improve quality in the industrial sector and also in the field of computer-assisted education. Many innovations can be proposed to improve the quality of learning impleme...

Seeking information on job vacancy portals are use search engines tools that already contained on the service site. The search results by the system are based on the similarity of input queries, then the results are displayed with a sort model limited to hierarchical alphabets or numbers. So, it takes a longer time to sort out the required information, because the results of information displayed by the system also contained some irrelevant information. Therefore, is being necessary to develop other ranked models to recommend some information from the search results. Cosine similarity method in the implementation of the data accordance to query that inputted by user, and then applying a method of simple additive weighting as a ranked method for the retrive data of cosine similarity results. The system has excellent features too, namely the multilevel ranking model so users can define their own ranking rules by determining which criteria tends is dominant.

Pencarian informasi melalui portal bursa lowongan kerja memanfaatkan mesin pencari (search engine) yang terdapat pada situs layanan. Hasil pencarian oleh sistem didasarkan pada kesamaan query inputan, kemudian hasilnya ditampilkan dengan model sortir yang terbatas pada hierarkis abjad atau angka. Sehingga diperlukan waktu lagi untuk memilah informasi yang dibutuhkan, karena hasil informasi yang ditampilkan sistem juga diantaranya merupakan informasi yang kurang sesuai. Sebab itu diperlukanlah adanya pengembangan model perankingan terhadap rekomendasi informasi dari hasil pencarian tersebut. Metode cosine similarity dalam pengimplementasiannya menghasilkan data sesuai dengan query yang diinputkan user, serta ditambah dengan menerapkan metode simple additive weighting sebagai metode perankingan terhadap data retrive hasil cosine similarity. Sistem memiliki fitur unggulan, yaitu model perankingan yang bertingkat sehingga user dapat menentukan sendiri aturan perankingan dengan menentuka...

Objective: To verify the effects of gait and robotic stair training with G-EO System, associated with conventional rehabilitation, on gait speed and endurance and trunk control of stroke participants. Methods: Retrospective study with 28 participants in the chronic phase of the disease. G-EO System was used for gait and stair robotic intervention. 20-session protocol of 20 minutes associated with conventional multidisciplinary therapy. The 10-meter Walk Test (10mWT), 6-minute Walk Test (6MWT) and Trunk Impairment Scale (TIS) tools were used. P values <0.05 were considered statistically significant with Wilcoxon test before and after intervention. Results: Significant differences found in the tests. TIS presented initial mean value of 14.29 (± 5.30) and final value of 17.04 (± 4.49), with p = 0.00044. 10mWT presented average initial velocity of 0.498 m/s (± 0.27) and final velocity of 0.597 m/s (± 0.32), p = 0.00008. 6mWT presented mean initial value of 155.89m (± 85.96) and final...

Restoring the ability to walk, especially independently, is one of the goals in the rehabilitation of patients with incomplete spinal cord injury (ISCI). The G-EO System (GS) robotic gait training acts as a reinforcer of the repetitive and specific practice of the gait phases. Objective: Investigate the combined effects of physiotherapy and robotic therapy on gait functionality in relation to balance and gait speed in patients with ISCI. Methods: Retrospective cohort study with 14 patients in the chronic phase of the disease, using the GS as a robotic intervention for gait and stairs, consisting of a 20-session protocol associated with conventional physical therapy. We used the 10-meter Walk Test (10WT) and the Berg Balance Scale (BBS). P values <0.05 were considered statistically significant using the Wilcoxon test at the beginning of conventional physical therapy and before and after intervention. Results: At the 10WT, the mean initial velocity ranged from 2.60 m/s ± 1.72 at th...

An open-source platform Android has been widely used in smart phones. Android has complete software package consisting of an operating system, middle ware layer and core applications. Android application, Smart phones are becoming each time more powerful and equipped with several accessories that are useful for robots. The purpose of our project is to provide powerful computational android platforms with simpler robot’s hardware architecture. This project describes how to control a robot using mobile through Bluetooth communication, some features about Bluetooth technology, components of the mobile and robot. For project we developed two android applications, in that first application sends instruction to the other application which is placed in another smart phone on robot. We are developing the remote buttons in the second android app by which we can control the robot motion, direction with them and also use mobiles basic features like camera, video. We use Bluetooth communication...

In this paper, we propose a vision-based recognition approach to control the posture of a robotic arm with three degrees of freedom (DOF) using static and dynamic human hand gestures. Two different methods are investigated to intuitively control a robotic arm posture in real-time using depth data collected by a Kinect sensor. In the first method, the user’s right index fingertip position is mapped to compute the inverse kinematics on the robot. Using the Forward And Backward Reaching Inverse Kinematics (FABRIK) algorithm, the inverse kinematics (IK) solutions are displayed in a graphical interface. Using this interface and his left hand, the user can intuitively browse and select a desired robotic arm posture. In the second method, the user’s left index position and direction are respectively used to determine the end-effector position and an attraction point position. The latter enables the control of the robotic arm posture. The performance of these real-time natural human control...

This paper presents an approach for the automatic detection and fast 3D profiling of lateral body panels of vehicles. The work introduces a method to integrate raw streams from depth sensors in the task of 3D profiling and reconstruction and a methodology for the extrinsic calibration of a network of Kinect sensors. This sensing framework is intended for rapidly providing a robot with enough spatial information to interact with automobile panels using various tools. When a vehicle is positioned inside the defined scanning area, a collection of reference parts on the bodywork are automatically recognized from a mosaic of color images collected by a network of Kinect sensors distributed around the vehicle and a global frame of reference is set up. Sections of the depth information on one side of the vehicle are then collected, aligned, and merged into a global RGB-D model. Finally, a 3D triangular mesh modelling the body panels of the vehicle is automatically built. The approach has a...

This paper presents the design and integration of a vision-guided robotic system for automated and rapid vehicle inspection. The main goal of this work is to scan and explore regions of interest over an automotive vehicle while a manipulator’s end effector operates in close proximity of the vehicle and safely accommodates its curves and inherent surface obstacles, such as outside mirrors or door handles, in order to perform a series of close inspection tasks. The project is motivated by applications in automated vehicle inspection, cleaning, and security screening. In order to efficiently navigate the robotic manipulator along the vehicle’s surface within regions of interest that are selectively identified, an efficient and accurate integration of information from multiple RGB-D sensors and robotic components is proposed. The main components of the proposed approach include: automated vehicle category recognition from visual information; RGB-D sensors calibration; extraction of spec...

The brake systems of vehicles are tested periodically by a "brake tester" at Ministry of Transport (MOT) stations. This tester measures the effectiveness of vehicle. This parameter is established by the International Committee of Vehicle Inspection (CITA). In this paper, we present an investigation of the influence of the tire size on the measurements of brake force on three MOT brake testers. We performed an analysis of the vehicle braking capacity test at MOT stations. The influence of varying wheel diameter and width on the measurement of braking at MOT stations has been analyzed. Thereby, the MOT brake tester as a verification system for a vehicle has been evaluated.

Robotics is a term which is used for the combination of multiple terms such as engineering, technology, rehab etc. Even, the term artificial intelligence has proved to be useful in taking robotics ahead. Walking ability is linked to a variety of daily duties, whilst immobility can considerably reduce the standard of living of those suffering from locomotory illnesses. Researchers from all over the world are working to enhance or develop medicines and gadgets that may aid those individuals.By assisting therapists in delivering ongoing instruction over a long period of time and gathering data to monitor improvement robotics-assisted rehabilitation technology has the potential to improve the efficacy and availability of therapy.This review research summarizes the effort that has gone into the implementation and evolution of robotic systems for rehabilitation.Home-based rehabilitation devices, which make use of readily available state-of-the-art technology, are offered as a long-term so...

The literature on gesture-sound interactive system and sensori-motor learning is scattered in separate different research domains and communities, such as Sound and Music Computing, Neurosciences, Interactive Sound Design, Sonification, Rehabilitation, Sport Sciences. The large majority of neuroscience papers on the human motor system deals with visual, haptic and vestibular sensory inputs and rarely mention the auditory modality. Historically most of papers that report on auditory-motor mechanisms concerned speech learning and production. On one hand, due to promising applications in movement learning (mostly in sport) and rehabilitation, there is an increasing number of studies showing the potential interest of auditory feedback. The technology used in these types of applications remains generally rudimentary. On the other hand, the most advance interactive gesture-sound systems are found in the music and computing field, but lack of systemic studies evaluating these systems. More...

Consider a distributed information network with harmful procedures called attackers (e.g., viruses); each attacker uses a probability distribution to choose a node of the network to damage. Opponent to the attackers is the system protector scanning and cleaning from attackers some part of the network (e.g., an edge or a simple path), which it chooses independently using another probability distribution. Each attacker wishes to maximize the probability of escaping its cleaning by the system protector; towards a conflicting objective, the system protector aims at maximizing the expected number of cleaned attackers. In [8, 9], we model this network scenario as a noncooperative strategic game on graphs. We focus on two basic cases for the protector; where it may choose a single edge or a simple path of the network. The two games obtained are called as the Path and the Edge model, respectively. For these games, we are interested in the associated Nash equilibria, where no network entity ...

Animal brains still outperform even the most performant machines with significantly lower speed. Nonetheless, impressive progress has been made in robotics in the areas of vision, motion- and path planning in the last decades. Brain-inspired Spiking Neural Networks (SNN) and the parallel hardware necessary to exploit their full potential have promising features for robotic application. Besides the most obvious platform for deploying SNN, brain-inspired neuromorphic hardware, Graphical Processing Units (GPU) are well capable of parallel computing as well. Libraries for generating CUDA-optimized code, like GeNN and affordable embedded systems make them an attractive alternative due to their low price and availability. While a few performance tests exist, there has been a lack of benchmarks targeting robotic applications. We compare the performance of a neural Wavefront algorithm as a representative of use cases in robotics on different hardware suitable for running SNN simulations. Th...

Abstract: A 3D scanner is a device that analyzes a real-world object or environment to collect data on its shape and possibly its appearance (i.e. color). The collected data can then be used to construct digital, three dimensional models useful for a wide variety of applications. These devices are used extensively by the entertainment industry in the production of movies and video games. Other common applications of this technology include industrial design, reverse engineering and prototyping, computer vision and documentation of cultural artifacts. Many different technologies can be used to build these 3D scanning devices. Each technology comes with its own limitations, advantages and costs. It should be remembered that many limitations in the kind of objects that can be digitized are still present as the optical technologies encounter many difficulties with shiny, mirroring or transparent objects.