Robotics Technology Research Papers - Academia.edu (original) (raw)

Mother tongue education follows a distinct set of principles, with pivotal considerations including the individual's age and their mental, biological, and linguistic (healthy) development. It is noteworthy that robotics technology plays... more

Mother tongue education follows a distinct set of principles, with pivotal considerations including the
individual's age and their mental, biological, and linguistic (healthy) development. It is noteworthy that robotics
technology plays a crucial role in enhancing the development, creativity, and technical and social problemsolving skills of students with special needs. Despite the revolutionary nature of employing robots, it remains an
evolving field. The central inquiry in this study is: What enhancements do the increasingly technologized
educational systems, particularly those incorporating robotics, bring to children with special needs in the 21st
century? Additionally, what possibilities does robotized mother tongue education present for the advancement of
these children? This study contends that, notwithstanding its costliness and associated risks, such as the potential
for fostering addiction, robotic materials play a supportive role in the mother tongue acquisition processes of
individuals with special needs. This support is facilitated through diverse activities, including oral reading,
audio-visual assistance, and mechanisms involving question-answer or action-command. It is noteworthy that
this document analysis-based study aims to enrich the literature, particularly in areas where the subject of mother
tongue development in children with special needs through robotic applications has been relatively unexplored.

The way libraries function and provide services to their customers is being revolutionized by the incorporation of Robotic Technologies and Artificial Intelligence (AI). The employment of these cutting-edge technologies in cataloguing,... more

The way libraries function and provide services to their customers is being revolutionized by the incorporation of Robotic Technologies and Artificial Intelligence (AI). The employment of these cutting-edge technologies in cataloguing, information retrieval, user support, and maintenance are some of the areas of library services that this study investigates. While robotic systems offer interactive and customized user support, enhancing the overall user experience, AI-driven systems increase the efficiency of cataloguing procedures by automating metadata production and classification. Furthermore, advanced information retrieval is made easier by AI algorithms, giving users faster and more accurate access to pertinent information. In addition, the study looks at how robotics can help with standard maintenance duties like book retrieval and shelf organizing, freeing up human labour for more intricate and valuable work. The results imply that the application of AI and robotic technology in libraries increases service quality and operational efficiency while also improving accessibility and user-friendliness. Possible obstacles to the broad use of these technologies are also explored, along with future research goals.

Optimal robotic grasping cannot be limited to the estimation of object grasping pose using vision-based methods. It is necessary to use tactile sensors to learn the physical properties of the objects that are to be grasped. In this work,... more

Optimal robotic grasping cannot be limited to the estimation of object grasping pose using vision-based methods. It is necessary to use tactile sensors to learn the physical properties of the objects that are to be grasped. In this work, we integrated two Contactile force-based tactile sensors with a 2F-140 ROBOTIQ gripper and a UR5 robot to estimate the volume of a waterfilled container using Multilayer Perceptron (MLP) neural networks. During experimentation, we trained and evaluated different
MLPs varying the input forces (Fx, Fy, Fz) in a task of discrete-volume regression in a range of between 0ml and 300ml. The preliminary proposed approach is compared with an algebraic method based on the diagram of the equilibrium of forces, proving that our results are more precise, obtaining a R2 value of 8% higher in the worst-case scenario, and of 30% in the best.

AI is one of the most critical technologies driving supply chain changes, as it provides ways to improve operations, decision-making, and delivering value in challenging environments. This research paper explores the deep-seated effects... more

AI is one of the most critical technologies driving supply chain changes, as it provides ways to improve operations, decision-making, and delivering value in challenging environments. This research paper explores the deep-seated effects of AI, including machine learning, predictive analytics, and robotics, on supply chain management. This study uses mixed empirical case analysis and comparative analysis of companies such as Toyota Motor Corporation and Unilever and paints a more realistic picture of AI's role in innovation, cost cutting, customer satisfaction enhancement, and sustainable business creation. Besides evaluating AI's implications for operations, this paper discusses how firms position AI to support supply chain strategies. The study reveals how AI solves sectorrelated issues, improves the supply chain, and decreases risks by using data and automation. Further, it highlights issues and risks concerning the application of AI in SCM, such as embryonic expenditure, data integrity, and change management. Therefore, it is possible to conclude that this paper provides insights into potential future AI applications in the SC context by integrating relevant empirical assessments with theoretical concepts derived from the logistics and SCM literature. It offers tangible implementation strategies for organizations wishing to implement AI technologies for tangible continuous improvement in their performance and sustainable organizational competitiveness in the current global volatile environment.

AI is one of the most critical technologies driving supply chain changes, as it provides ways to improve operations, decision-making, and delivering value in challenging environments. This research paper explores the deep-seated effects... more

AI is one of the most critical technologies driving supply chain changes, as it provides ways to improve operations, decision-making, and delivering value in challenging environments. This research paper explores the deep-seated effects of AI, including machine learning, predictive analytics, and robotics, on supply chain management. This study uses mixed empirical case analysis and comparative analysis of companies such as Toyota Motor Corporation and Unilever and paints a more realistic picture of AI's role in innovation, cost cutting, customer satisfaction enhancement, and sustainable business creation. Besides evaluating AI's implications for operations, this paper discusses how firms position AI to support supply chain strategies. The study reveals how AI solves sectorrelated issues, improves the supply chain, and decreases risks by using data and automation. Further, it highlights issues and risks concerning the application of AI in SCM, such as embryonic expenditure, data integrity, and change management. Therefore, it is possible to conclude that this paper provides insights into potential future AI applications in the SC context by integrating relevant empirical assessments with theoretical concepts derived from the logistics and SCM literature. It offers tangible implementation strategies for organizations wishing to implement AI technologies for tangible continuous improvement in their performance and sustainable organizational competitiveness in the current global volatile environment.

MoCLORA (Modular Climbing-and-Legged Robotic Organism Architecture) is a software framework for climbing bio-inspired robotic organisms composed of modular robots (legs). It is presented as a modular low-level architecture that... more

MoCLORA (Modular Climbing-and-Legged Robotic Organism Architecture) is a software framework for climbing bio-inspired robotic organisms composed of modular robots (legs). It is presented as a modular low-level architecture that coordinates the modules of an organism with any morphology, at the same time allowing exchanges between the physical robot and its digital twin. It includes the basic layers to control and coordinate all the elements, while allowing adding new higher-level components to improve the organism’s behavior. It is focused on the control of both the body and the legs of the organism, allowing for position and velocity control of the whole robot. Similarly to insects, which are able to adapt to new situations after the variation on the capacity of any of their legs, MoCLORA allows the control of organisms composed of a variable number of modules, arranged in different ways, giving the overall system the versatility to tackle a wide range of tasks in very diverse envi...

MoCLORA (Modular Climbing-and-Legged Robotic Organism Architecture) is a software framework for climbing bio-inspired robotic organisms composed of modular robots (legs). It is presented as a modular low-level architecture that... more

MoCLORA (Modular Climbing-and-Legged Robotic Organism Architecture) is a software framework for climbing bio-inspired robotic organisms composed of modular robots (legs). It is presented as a modular low-level architecture that coordinates the modules of an organism with any morphology, at the same time allowing exchanges between the physical robot and its digital twin. It includes the basic layers to control and coordinate all the elements, while allowing adding new higher-level components to improve the organism’s behavior. It is focused on the control of both the body and the legs of the organism, allowing for position and velocity control of the whole robot. Similarly to insects, which are able to adapt to new situations after the variation on the capacity of any of their legs, MoCLORA allows the control of organisms composed of a variable number of modules, arranged in different ways, giving the overall system the versatility to tackle a wide range of tasks in very diverse envi...

This research paper aimed to determine the effects of robotics-aided lessons on students' physics achievement using the experimental design. The experimental group was exposed to instruction using the RCX programmable LEGO bricks and... more

This research paper aimed to determine the effects of robotics-aided lessons on students' physics achievement using the experimental design. The experimental group was exposed to instruction using the RCX programmable LEGO bricks and pieces, sensors, and motors while the control group was exposed to traditional teaching. The instruments used were Student's Robotics Profile Inventory, Achievement Test, Observation Checklist, and Interview. It was found out that the post-test of students who were exposed to roboticsaided instruction was higher than that of the non-robotics-aided lessons. When the pre-test and post-test were compared, they showed improvement from low to high scores. Moreover, the results of the students' physics achievement using non-robotics instruction during the pre-test and post-test also improved from low to average through their mean scores. Social skills, personal values, and intellectual knowledge using the robots as an intervention in the learning process were developed among the students. The results supposed that positive behaviors motivate students to engage themselves in physics. Defined recommendations were given to schools' administrators, supervisors and teachers in using robotics in their teaching methods and pedagogies.

MoCLORA (Modular Climbing-and-Legged Robotic Organism Architecture) is a software framework for climbing bio-inspired robotic organisms composed of modular robots (legs). It is presented as a modular low-level architecture that... more

MoCLORA (Modular Climbing-and-Legged Robotic Organism Architecture) is a software framework for climbing bio-inspired robotic organisms composed of modular robots (legs). It is presented as a modular low-level architecture that coordinates the modules of an organism with any morphology, at the same time allowing exchanges between the physical robot and its digital twin. It includes the basic layers to control and coordinate all the elements, while allowing adding new higher-level components to improve the organism’s behavior. It is focused on the control of both the body and the legs of the organism, allowing for position and velocity control of the whole robot. Similarly to insects, which are able to adapt to new situations after the variation on the capacity of any of their legs, MoCLORA allows the control of organisms composed of a variable number of modules, arranged in different ways, giving the overall system the versatility to tackle a wide range of tasks in very diverse envi...

Adhesion systems are very important in robots for infrastructure inspection (especially in vertical walls). They present the challenge of optimizing the ratio vacuum/power consumption in battery-powered robots. In this paper a CFD... more

Adhesion systems are very important in robots for infrastructure inspection (especially in vertical walls). They present the challenge of optimizing the ratio vacuum/power consumption in battery-powered robots. In this paper a CFD (Computer Fluid Dynamics) modelling and optimization process of a robot adhesion system is carried out to determine the best performing configuration in terms of vacuum and power consumption. Analytical and numerical models were developed to predict the behaviour of the system for different configurations. The models were validated, using test rig measurements, by calibrating an arbitrary defined inlet height that simulates the leakage flow. Then, different geometric parameters were varied to determine the best performing configuration based on the vacuum/power consumption ratio value. The model presented in the paper was capable of predicting the behaviour of the system for different configurations, with a margin of error of 15% for the vacuum prediction ...

Adhesion systems are very important in robots for infrastructure inspection (especially in vertical walls). They present the challenge of optimizing the ratio vacuum/power consumption in battery-powered robots. In this paper a CFD... more

Adhesion systems are very important in robots for infrastructure inspection (especially in vertical walls). They present the challenge of optimizing the ratio vacuum/power consumption in battery-powered robots. In this paper a CFD (Computer Fluid Dynamics) modelling and optimization process of a robot adhesion system is carried out to determine the best performing configuration in terms of vacuum and power consumption. Analytical and numerical models were developed to predict the behaviour of the system for different configurations. The models were validated, using test rig measurements, by calibrating an arbitrary defined inlet height that simulates the leakage flow. Then, different geometric parameters were varied to determine the best performing configuration based on the vacuum/power consumption ratio value. The model presented in the paper was capable of predicting the behaviour of the system for different configurations, with a margin of error of 15% for the vacuum prediction ...

This article focuses on providing remedial solutions for COVID disease through the data collection process. Recently, In India, sudden human losses are happening due to the spread of infectious viruses. All people are not able to... more

This article focuses on providing remedial solutions for COVID disease through the data collection process. Recently, In India, sudden human losses are happening due to the spread of infectious viruses. All people are not able to differentiate the number of affected people and their locations. Therefore, the proposed method integrates robotic technology for monitoring the health condition of different people. If any individual is affected by infectious disease, then data will be collected and within a short span of time, it will be reported to the control center. Once, the information is collected, then all individuals can access the same using an application platform. The application platform will be developed based on certain parametric values, where the location of each individual will be retained. For precise application development, the parametric values related to the identification process such as sub-interval points and intensity of detection should be established. Therefore...

Adhesion systems are very important in robots for infrastructure inspection (especially in vertical walls). They present the challenge of optimizing the ratio vacuum/power consumption in battery-powered robots. In this paper a CFD... more

Adhesion systems are very important in robots for infrastructure inspection (especially in vertical walls). They present the challenge of optimizing the ratio vacuum/power consumption in battery-powered robots. In this paper a CFD (Computer Fluid Dynamics) modelling and optimization process of a robot adhesion system is carried out to determine the best performing configuration in terms of vacuum and power consumption. Analytical and numerical models were developed to predict the behaviour of the system for different configurations. The models were validated, using test rig measurements, by calibrating an arbitrary defined inlet height that simulates the leakage flow. Then, different geometric parameters were varied to determine the best performing configuration based on the vacuum/power consumption ratio value. The model presented in the paper was capable of predicting the behaviour of the system for different configurations, with a margin of error of 15% for the vacuum prediction ...

Many advances in technology have made the agriculture business a much less labor-intensive industry. Farmers are looking for new ways to implement technology to cut costs and reduce labor hours. One of the ways that farmers are beginning... more

Many advances in technology have made the agriculture business a much less labor-intensive industry. Farmers are looking for new ways to implement technology to cut costs and reduce labor hours. One of the ways that farmers are beginning to explore new technologies in farming come from the automatic machines. Internet of Things (IoT) technology has brought revolution to each and every field of common man's life by making everything smart and intelligent. IoT refers to a network of things which make a self-configuring network. The Agriculture stick being proposed via this paper is integrated with Adriano Technology, Here we use two applications to show the working of the robot which is going to do crop harvesting and fertilizing in real-time manner. Other accessories are slaves performing specific operations. The approach is now to develop smarter machines that are intelligent enough to work in an unmodified or semi-natural environment.

This article focuses on providing remedial solutions for COVID disease through the data collection process. Recently, In India, sudden human losses are happening due to the spread of infectious viruses. All people are not able to... more

This article focuses on providing remedial solutions for COVID disease through the data collection process. Recently, In India, sudden human losses are happening due to the spread of infectious viruses. All people are not able to differentiate the number of affected people and their locations. Therefore, the proposed method integrates robotic technology for monitoring the health condition of different people. If any individual is affected by infectious disease, then data will be collected and within a short span of time, it will be reported to the control center. Once, the information is collected, then all individuals can access the same using an application platform. The application platform will be developed based on certain parametric values, where the location of each individual will be retained. For precise application development, the parametric values related to the identification process such as sub-interval points and intensity of detection should be established. Therefore, to check the effectiveness of the proposed robotic technology, an online monitoring system is employed where the output is realized using MATLAB. From simulated values, it is observed that the proposed method outperforms the existing method in terms of data quality with an observed percentage of 82.

The adhesion of marine organisms will increase resistance and accelerate corrosion of the vessel, so the hull must be cleaned and repaired regularly. At present, underwater cleaning mainly relies on divers carry the cleaning equipment to... more

The adhesion of marine organisms will increase resistance and accelerate corrosion of the vessel, so the hull must be cleaned and repaired regularly. At present, underwater cleaning mainly relies on divers carry the cleaning equipment to operate the tool in the water, which is costly and inefficient. Compared with the manual maintenance, the wall-climbing robot can clean and inspect the hull safely, efficiently and at low cost. One of the key technologies of the underwater wall-climbing robot (UWCR) is to ensure that it could attach to the hull to achieve flexible movement and complete safe operations such as cleaning or inspection. In this paper, we present the mechanical design of an UWCR used for inspecting the hull. The novel design of magnetic wheel of the UWCR is discussed in detail. In order to avoid the unstable phenomena such as tumbling or overturning, the static model of the UWCR was established. The ANSOFT MAXWELL is used to simulate the magnetic force provided by the magnetic wheel. The structure of magnetic wheel is optimized based on the simulation result. The experiment verifies the reliability of the magnetic wheel, the motion characteristics of the UWCR and the feasibility of the optimal design.

Spinal cord injury brings a sudden change in the lives of the affected individuals and causes permanent functional motor limitations. Although this condition has been believed to be refractory to treatment for many years, the life... more

Spinal cord injury brings a sudden change in the lives of the affected individuals and causes permanent functional motor limitations. Although this condition has been believed to be refractory to treatment for many years, the life expectancy of affected individual is comparable to that of healthy individuals with the application of new treatment methods. Upper extremity function in tetraplegic patients affects the quality of life. Currently, the use of robots has increased for different treatment alternatives. Robot-mediated rehabilitation includes robot assistance, robotic perturbation, adding virtual reality to robot-mediated therapy, and interfacing the brain with a robotic device. The effects of upper extremity robotic rehabilitation, during and following treatment, and their side effects will be discussed along with currently available literature.

(2017) "Tele-operated propeller-type climbing robot for inspection of petrochemical vessels", If you would like to write for this, or any other Emerald publication, then please use our Emerald for Authors service information about how to... more

(2017) "Tele-operated propeller-type climbing robot for inspection of petrochemical vessels", If you would like to write for this, or any other Emerald publication, then please use our Emerald for Authors service information about how to choose which publication to write for and submission guidelines are available for all. Please visit www.emeraldinsight.com/authors for more information. About Emerald www.emeraldinsight.com Emerald is a global publisher linking research and practice to the benefit of society. The company manages a portfolio of more than 290 journals and over 2,350 books and book series volumes, as well as providing an extensive range of online products and additional customer resources and services. Emerald is both COUNTER 4 and TRANSFER compliant. The organization is a partner of the Committee on Publication Ethics (COPE) and also works with Portico and the LOCKSS initiative for digital archive preservation. Abstract Purpose-The purpose of this paper is to propose a new propeller-type climbing robot called EJBot for climbing various types of structures that include significant obstacles, besides inspection of industrial vessels made of various materials, including non-ferromagnetic material. The inspection includes capturing images for important spots and measuring the wall thickness. Design/methodology/approach-The design mainly consists of two coaxial upturned propellers mounted on a mobile robot with four standard wheels. A new hybrid actuation system that consists of propeller thrust forces and standard wheel torques is considered as the adhesion system for this climbing robot. This system generates the required adhesion force to support the robot on the climbed surfaces. Dynamic simulation using ADAMS is performed and ensures the success of this idea. Findings-Experimental tests to check the EJBot's capabilities of climbing different surfaces, such as smooth, rough, flat and cylindrical surfaces like the real vessel, are successfully carried out. In addition, the robot stops accurately on the climbed surface at any desired location for inspection purposes, and it overcomes significant obstacles up to 40 mm. Practical implications-This proposed climbing robot is needed for petrochemical and liquid gas vessels, where a regular inspection of the welds and the wall thickness is required. The interaction between the human and these vessels is dangerous and not healthy due to the harmful environment inside these vessels. Originality/value-This robot utilizes propeller thrusts and wheel torques simultaneously to generate adhesion and traction forces. Therefore, a versatile robot able to climb different kinds of structures is obtained.

— Recently, wall climbing robots have attracted much attention because of its importance in many applications such as cleaning, painting, fire fighting, tanks and walls inspection. This paper presents the design, modeling and control of a... more

— Recently, wall climbing robots have attracted much attention because of its importance in many applications such as cleaning, painting, fire fighting, tanks and walls inspection. This paper presents the design, modeling and control of a wall climbing robot, crossing over obstacles with heights more than the current ones. The proposed climbing robot consists of two mobile robots connected with a link and two revolute joints. The climbing robot is designed in a way that during crossing over obstacles, one of the mobile robots adheres to the wall while the other mobile robot with its connected link forms a 2 DOF arm crossing over obstacles. An impeller based vacuum is generated giving the adhering capability to each mobile robot. The model of the climbing robot is presented in both stationary and motion modes. A PID-computed torque controller is designed to the 2 DOF arm for crossing over obstacles and the presented simulation results show the validity of the proposed controller.

The art of growing plants, which is a part of agriculture has seen enormous change in modern day. In olden days' technology was not developed that much. Operations like seeding, plowing, weed cutting etc. were done by hand. Then... more

The art of growing plants, which is a part of agriculture has seen enormous change in modern day. In olden days' technology was not developed that much. Operations like seeding, plowing, weed cutting etc. were done by hand. Then technology emerged and human operated machines were discovered. In modern days' robotic technology has been introduced in order to perform the regular agricultural chores. The introduction of robotics has made the operations autonomous and semi-autonomous. This article provides a brief survey on various kind of robotic technology used in farming, and an idea of multi-talented robot has been presented.

This paper introduces an algorithm to speed up the backpropagation learning rules. The algorithm is based on providing lateral connections among the neuron of every hidden layer. These connections are trained using an anti-Hebbian... more

This paper introduces an algorithm to speed up the backpropagation learning rules. The
algorithm is based on providing lateral connections among the neuron of every hidden layer.
These connections are trained using an anti-Hebbian learning rule which decorrelates the outputs
of these nodes. The decorrelation process minimizes any redundant information transferred
from an internal layer to the next and therefore enables the network to capture the statistical
properties of the mapping much faster. The algorithm will be applied to some benchmark problems
and the results will be compared to those obtained using the conventional backpropagation
network