Implementation Of Robot Research Articles

Cocreative Development of Robotic Interaction Systems for Health Care: Scoping Review.

Robotic technologies present challenges to health care professionals and are therefore rarely used. Barriers such as lack of controllability and adaptability and complex control functions affect the human-robot relationship. In addition to educational opportunities, the possibility of individual adaptation can improve the usability and practical implementation of robotics. Previous work has focused on developments from a technology-centered perspective and has included user interests too late in the process. This study addresses the following research question: What cocreative research approaches are used in the field of nursing robotics to improve the usability, intended use, and goal-directed application of robotic developments for nurses and to support the nursing process? This scoping review provides an overview of the topic and the research activities taking place within it. Five databases and the reference lists of the identified publications were searched for studies without further restrictions. Studies were included if they developed and evaluated interaction and control platforms for robotic systems in health care in a cocreative way with end users. The search resulted in 419 hits, of which 3 publications were included. All publications were feasibility or user studies that were mainly carried out in the European Union. The 3 interaction and control platforms presented were all prototypes and not commercially available. In addition to those in need of care, all studies also included family carers and health care professionals. Robotic interaction and control platforms in health care are rarely, if ever, developed and evaluated with feasibility or user studies that include prototypes and end users. While the involvement of end users is crucial, this review emphasizes that all stakeholders, including health care professionals, should participate in the development process to ensure a holistic understanding of application needs and a focus on user experiences and practical health care needs. It is emphasized that the active involvement of end users in the development process is critical to effectively meeting the needs of the target group.

Design of Robotics Implementation of A Fingerprint Biometric System

Biometrics, rooted in the Greek terms "bios" (life) and "metrikos" (measure), represents a modern approach to identifying individuals based on their unique physical characteristics, such as fingerprints, facial features, and iris patterns. In today's increasingly digital landscape, traditional security methods like passwords and keys have become inadequate in safeguarding sensitive information. The rise of sophisticated cyberattacks and unauthorized access has highlighted the need for more advanced and secure authentication methods. This project aims to design and implement a fingerprint biometric system using robotics and FPGA technology. The system is intended to provide a more reliable and secure method of verifying identities by capturing and processing fingerprint images. It will extract minutiae points, the unique features within a fingerprint, to create a robust authentication mechanism. This approach promises to enhance security by offering an alternative to conventional methods that are often vulnerable to breaches. In developing this biometric system, the focus will be on ensuring that it can be effectively integrated into various applications where secure access control is crucial. By leveraging the unique and immutable nature of fingerprints, the system will reduce the risks associated with password reuse, theft, and unauthorized sharing. The inclusion of continuous authentication techniques will further strengthen security, ensuring that the user’s identity is verified throughout a session, not just at the initial login. Additionally, the project will incorporate version control mechanisms to track the development and deployment of the system, ensuring that any changes or updates can be easily managed and reviewed. This will help maintain the system's reliability and effectiveness over time, allowing it to adapt to evolving security challenges. Through this work, we aim to contribute to the broader adoption of biometric technologies in securing digital and physical environments, paving the way for more secure and seamless user experiences.

Potential challenges of collaborative robot implementation in Vietnamese garment manufacturing

Collaborative robots (cobots) are a new significant technology in the integration of Industry 4.0 (I4.0) and Industry 5.0 (I5.0). Working alongside humans in open environments, cobots can boost safety and productivity. However, manufacturers are facing some potential challenges in adopting cobots, such as technological challenges, social problems, cost barriers, and labor issues. Vietnam has a great potential for outsourcing in the top supply chains for many famous fashion brands globally, with thousands of textile and garment factories. The purpose of this study was to explore potential challenges of cobot implementations in the context of Vietnam’s garment factories from factory employees’ perspectives. Data were collected from 29 garment factory managers in Vietnam. Findings revealed a rapid change in fashion trends and many unskilled workers may limit cobots’ flexibility, precision, and innovation. Furthermore, cobot implementation is affected by the cost of cobots, infrastructure upgrades, and risks of possible failure in deployment. Cobot firms, application partners, technology programmers, and manufacturers need to discuss how to maximize cobots’ benefits in diverse aspects of the garment manufacturing setting. These insights could boost the industry’s economy and sustainability.

Robotic solutions for precision agriculture

The robotic system is a key component in modern agriculture. The article aims to expand robotic solutions for precision agriculture and improve productivity, resource utilization, decision-making, sustainability, and farmworker safety. It aims to automate repetitive tasks, gather real-time data, promote sustainable practices, and reduce risks for farmworkers. They offer numerous potential solutions to issues related to the growing global population, changing demographics, and economic status. This article investigates how robotic systems can be significant to precision agriculture. Traditional farming is facing issues such as climate change, resource depletion, labour shortage, etc. The use of robotic systems makes precision agriculture achievable and it provides a sustainable solution. This study examined the importance of robotics in agricultural processes such as planting, seeding, weeding, and harvesting. The potential benefits of robotic solutions, such as increased efficiency, reduced labour costs, and improved crop yield, are explored. The article identifies key challenges and opportunities associated with robotic implementation in agriculture. The research aids in creative effective agriculture techniques by imaging the future use of robotics in agriculture.

A Military Application Robot (Design and Implementation) that Works as a Mine and Gas Detector

A Military Application Robot (Design and Implementation) that Works as a Mine and Gas Detector

Assistance in Picking Up and Delivering Objects for Individuals with Reduced Mobility Using the TIAGo Robot

Individuals with reduced mobility, including the growing elderly demographic and those with spinal cord injuries, often face significant challenges in daily activities, leading to a dependence on assistance. To enhance their independence, we propose a robotic system that facilitates greater autonomy. Our approach involves a functional assistive robotic implementation for picking, placing, and delivering containers using the TIAGo mobile manipulator robot. We developed software and routines for detecting containers marked with an ArUco code and manipulating them using the MoveIt library. Subsequently, the robot navigates to specific points of interest within a room to deliver the container to the user or another designated location. This assistance task is commanded through a user interface based on a web application that can be accessed from the personal phones of patients. The functionality of the system was validated through testing. Additionally, a series of user trials were conducted, yielding positive feedback on the performance and the demonstration. Insights gained from user feedback will be incorporated into future improvements to the system.

Effects of Automation on Mexican Automotive Employment: 2013–2022

AbstractThis article analyses the empirical relationship between the introduction of automation technology—industrial robots—and the employment and wages of workers in the Mexican automotive industry from 2013 to 2022. Drawing on contemporary debates surrounding automation and technological unemployment, we describe the Mexican labour market’s conditions in the context of trade openness, the technological capabilities of the Mexican automotive industry, and the implementation of industrial robots. We examine this relationship using a random effects panel data model across 14 Mexican states, constructed with values from the Monthly Survey of the Manufacturing Industry (EMIM), the Mexican Ministry of Economy (SE), and the International Federation of Robotics. Our results suggest that adopting industrial robots correlates positively with the employment and salaries of automobile sector workers in the study period. We discuss the implications of changes in jobs and wages in the Mexican automotive industry, highlighting the consequences of technological change.

Visually guided swarm motion coordination via insect-inspired small target motion reactions

Despite progress developing experimentally-consistent models of insect in-flight sensing and feedback for individual agents, a lack of systematic understanding of the multi-agent and group performance of the resulting bio-inspired sensing and feedback approaches remains a barrier to robotic swarm implementations. This study introduces the small-target motion reactive (STMR) swarming approach by designing a concise engineering model of the small target motion detector (STMD) neurons found in insect lobula complexes. The STMD neuron model identifies the bearing angle at which peak optic flow magnitude occurs, and this angle is used to design an output feedback switched control system. A theoretical stability analysis provides bi-agent stability and state boundedness in group contexts. The approach is simulated and implemented on ground vehicles for validation and behavioral studies. The results indicate despite having the lowest connectivity of contemporary approaches (each agent instantaneously regards only a single neighbor), STMR achieves collective group motion. STMR group level metric analysis also highlights continuously varying polarization and decreasing heading variance.

Implementation of a Small-Sized Mobile Robot with Road Detection, Sign Recognition, and Obstacle Avoidance

In this study, under the limited volume of 18 cm × 18 cm × 21 cm, a small-sized mobile robot is designed and implemented. It consists of a CPU, a GPU, a 2D LiDAR (Light Detection And Ranging), and two fisheye cameras to let the robot have good computing processing and graphics processing capabilities. In addition, three functions of road detection, sign recognition, and obstacle avoidance are implemented on this small-sized robot. For road detection, we divide the captured image into four areas and use Intel NUC to perform road detection calculations. The proposed method can significantly reduce the system load and also has a high processing speed of 25 frames per second (fps). For sign recognition, we use the YOLOv4-tiny model and a data augmentation strategy to significantly improve the computing performance of this model. From the experimental results, it can be seen that the mean Average Precision (mAP) of the used model has increased by 52.14%. For obstacle avoidance, a 2D LiDAR-based method with a distance-based filtering mechanism is proposed. The distance-based filtering mechanism is proposed to filter important data points and assign appropriate weights, which can effectively reduce the computational complexity and improve the robot’s response speed to avoid obstacles. Some results and actual experiments illustrate that the proposed methods for these three functions can be effectively completed in the implemented small-sized robot.

Enhancing construction management outcomes through the mitigation of robotics implementation barriers: A sustainable practice model

Incorporating technology into construction projects is highly important to achieve success. One of the critical technologies is robotics, but it faces significant barriers in terms of implementing it in the construction sector. Existing research focuses on the benefits of robotics in terms of construction management. Besides this, there is limited known study that simultaneously focuses on overcoming the barriers and their impact on success in construction projects. This research was aimed at evaluating the barriers faced in the implementation of robotics in construction and determining their impact on success. A quantitative research design was followed, starting with the identification of possible challenges from the literature, performing the pilot survey, conducting the exploratory factor analysis (EFA), and performing structural equation modeling (SEM). The results produced a structural model involving barriers and their relation to construction success with a significant positive relation value of B = 0.87. Positive implications are formulated in relation to managerial and theoretical expectations of future robotics implementation in construction projects.

INTEGRATION OF ARTIFICIAL INTELLIGENCE IN HOTEL SERVICES: TRENDS AND DEVELOPMENTS (THE ISRAELI CASE)

The integration of artificial intelligence in hotel services is an important and rapidly developing field. The article "Integration of Artificial Intelligence in Hotel Services: Trends and Developments" explores the current possibilities and trends in utilizing advanced artificial intelligence technologies in the hotel industry. The article discusses the use of smart algorithms for data analysis, the implementation of robots and smart technologies to enhance guest experiences, the utilization of support systems and personalized self-service, and the improvement of management and operational processes in hotels . It presents examples and research from the industry that demonstrate the benefits of leveraging AI and machine learning in hotel services and offers scenarios and tools for successful implementation of this advanced technology in the field. The article provides an in-depth and up-to-date insight into the use of artificial intelligence in the hotel industry and offers ideas and recommendations for experts and businesses in the field to effectively implement this technology in hotel operations.

Design of an IoT-Based Nursing Assistant Robot Using Nodemcu Esp8266 and Blynk

Work as a nurse requires direct contact with patients, for example when carrying drugs or changing IVs. However, since the COVID-19 pandemic, awareness to reduce direct contact with patients is increasingly needed. Moreover, direct contact with patients with infectious diseases, such as covid-19. For this reason, it is necessary to create a tool / robot that can connect nurses and patients, especially patients with infectious diseases. In this study, a robot design and implementation was made that can assist nurses in delivering drugs to patients, without having to make direct contact with patients. IoT-based designed robots using NodeMCU, ESP8266 and Blynk. NodeMCU ESP8266 is used as a data processor and smartphones are used as remote controls via the internet. Data from the smartphone is processed by NodeMCU then sends a signal to the robot actuator via the L298N driver motor to drive the wheels. Furthermore, the internet-connected IP camera is used for live streaming on smartphones through the V380 Pro application as a directional guide. Then to prevent collisions, the ultrasonic sensor HCSR04 will send data to NodeMCU ESP8266 if there is an obstacle at a distance of 30 cm in front of the robot, so that the robot will move backwards. The experimental results show that the robot can run well where the robot is controlled by a nurse using the Blynk IoT application and V380 Pro on a smartphone via internet media. Then the test was carried out with two methods, namely smartphones using the robot's local Wi-Fi connection and smartphones using cellular networks. The results showed that the response time of the application command on the smartphone to the robot or viewing video results from the IP Camera was affected by the condition of the internet network used.

Multi-objective trajectory planning and implementation of a metamorphic palletizing robot

Multi-objective trajectory planning and implementation of a metamorphic palletizing robot

Design, modeling, and experiment of a multi-degree-of-freedom pneumatic soft bionic actuator

Drawing on the driving mechanism of biological muscles and combining the nonlinear hyperelastic characteristics of silicone rubber, a multi-degree-of-freedom pneumatic soft bionic actuator is designed, which can be used as the executing mechanism for soft robots and robotic arms. Using response surface analysis and numerical simulation algorithms, the optimal combination of structural dimensions parameters is determined with the maximum bending and torsion angles output by the actuator as the optimization objectives. Based on the idea of flexible mechanism Piecewise Constant Curvature (PCC) modeling, the kinematics equation of the actuator is derived. Analyze the equivalent motion structure of the actuator and establish a dynamic model of the actuator based on the Lagrange method. The physical model of the actuator is manufactured using rapid prototyping technology. Finally, experimental testing and analysis are conducted on the physical model to obtain the motion and dynamic characteristics curves and empirical formulas of the actuator, which are compared with theoretical and simulation results to verify that the pneumatic soft bionic actuator is feasible and effective. The above research methods, processes, and results can provide reference and inspiration for the research and implementation of pneumatic and hydraulic soft robots and gripping actuators for soft robotic arms.

Design and Implementation of a Land-Air Omnidirectional Mobile Robot

This paper proposes a new type of omnidirectional mobile robot for land and air, which has three motion modes, combines the motion characteristics of land motion and air flight, has the ability to climb walls, and can be actively deformed to adapt to the working conditions according to the current working environment. The robot incorporates an innovative “rotor blade–single row omnidirectional wheel” composite structure, which is mainly characterized by a single row of continuous switching wheels covering the outside of each rotor blade, and does not need to provide additional power when moving on the ground and walls, relying on the driving force generated by the rotor blades to drive the continuous switching wheels driven by the rotor blades. This structure can effectively combine the land movement mode, wall crawling mode, and air flight mode, which reduces the energy consumption of the robot without increasing the weight, and we design a deformation device that can realize the transformation of the three modes into each other. This paper mainly focuses on the design of the robot structure and the analysis of the movement method, and the land omnidirectional movement experiments, wall crawling experiments, and air flight experiments were, respectively, carried out, and the results show that the proposed land and air omnidirectional mobile robot has the ability to adapt to the movement of each scene, and improves the upper limit of the robot’s operation.

Tourists prefer competent appearance robot over warm one: The effect of busyness perception

This article indicates that perceived busyness affects tourists' appearance preferences for service robots in tourist scenarios. Results from three studies reveal that tourists who feel busy will prefer competent-appearance to warm-appearance service robots. This relationship is serial mediated by efficiency motivation and tourists’ functional value focus, and it is moderated by time orientation. Specifically, we find that the effect occurs only among tourists with high present-orientation and low future-orientation but not among tourists with high future-orientation and low present-orientation. Our study examines tourists' preferences for the appearance of service robots from an individual perspective, providing recommendations for the hotel and tourism industry when considering the implementation of service robots.

A Novel Implementation of a Social Robot for Sustainable Human Engagement in Homecare Services for Ageing Populations.

This research addresses the rapid aging phenomenon prevalent in Asian societies, which has led to a significant increase in elderly individuals relocating to nursing homes due to health-related issues. This trend has resulted in social isolation and loneliness among the elderly, contributing to physical and mental ailments such as hypertension and cardiovascular diseases, as highlighted by the World Health Organization (WHO). To mitigate these issues, the research proposes leveraging technology, specifically the integration of robotics, to alleviate the caregiver shortage and enhance human interaction for the elderly. The novel approach involves developing a social robot designed to bridge the gap between humans and machines, combining knowledge from embedded systems, robotics, and essential soft skills for effective interaction. The authors found that this technological solution holds promise in addressing the caregiver shortage and improving the well-being of elderly individuals by reducing their sense of isolation, fostering better mental and physical health outcomes, and potentially transforming the landscape of elderly care through innovative technological applications. Future work includes expanding pilot studies and collaborating with healthcare institutions to further validate the effectiveness of the solution.

Kinematic and Parametric Modeling of 6DOF(Degree-of-Freedom) Industrial Welding Robot Design and Implementation

Kinematic and Parametric Modeling of 6DOF(Degree-of-Freedom) Industrial Welding Robot Design and Implementation

JVC-02 Teleoperated Robot: Design, Implementation, and Validation for Assistance in Real Explosive Ordnance Disposal Missions

Explosive ordnance disposal (EOD) operations are hazardous due to the volatile and sensitive nature of these devices. EOD robots have improved these tasks, but their high cost limits accessibility for security institutions that do not have sufficient funds. This article presents the design, implementation, and validation of a low-cost EOD robot named JVC-02, specifically designed for use in explosive hazardous environments to safeguard the safety of police officers of the Explosives Disposal Unit (UDEX) of Arequipa, Peru. To achieve this goal, the essential requirements for this type of robot were compiled, referencing the capabilities of Rescue Robots from RoboCup. Additionally, the Quality Function Deployment (QFD) methodology was used to identify the needs and requirements of UDEX police officers. Based on this information, a modular approach to robot design was developed, utilizing commercial off-the-shelf components to facilitate maintenance and repair. The JVC-02 was integrated with a 5-DoF manipulator and a two-finger mechanical gripper to perform dexterity tasks, along with a tracked locomotion mechanism, which enables effective movement, and a three-camera vision system to facilitate exploration tasks. Finally, field tests were conducted in real scenarios to evaluate and experimentally validate the capabilities of the JVC-02 robot, assessing its mobility, dexterity, and exploration skills. Additionally, real EOD missions were carried out in which UDEX agents intervened and controlled the robot. The results demonstrate that the JVC-02 robot possesses strong capabilities for real EOD applications, excelling in intuitive operation, low cost, and ease of maintenance.

Self Balancing Robot using Arduino

Abstract: This research paper presents the design, development, and implementation of an Arduino micro controller-based selfbalancing robot. This study looks at how sensors, actuators, and control algorithms can work together to provide stable and dependable balance control. The Two-Wheeled Self-Balancing Robot (TWSBR) was controlled in this work using a Proportional, Integral, and Differential (PID) controller. The suggested system makes use of a PID control algorithm for accurate motor speed adjustment and an inertial measurement unit (IMU) for real-time orientation monitoring of the robot[4]. The two DC stepper motors applied the proper amount of torque in the right direction, which allowed the structure to maintain a vertical equilibrium state. The robot measures its tilt and angular velocity with a gyroscope sensor. The outcomes of the experiments indicate that the suggested method is efficient in preserving equilibrium in different circumstances, highlighting the possibilities of Arduino based systems for the creation of self-governing robotic systems. Through iterative testing and improvement [2], the objective is to build a selfbalancing robot that is sturdy and steady and can navigate and adapt to various surfaces and disturbances.