Construction Of Robot Research Articles

Transforming Construction: The Growing Role of Mechatronics in Building Our Infrastructure

This paper explores the increasing role of mechatronics in the construction industry and its impact on infrastructure development. It provides an overview of mechatronics, its historical development, and key components used in construction applications. The paper examines various mechatronics applications in building construction and infrastructure development, including robotic construction systems, smart sensors and monitoring systems, advanced materials and 3D printing, intelligent transportation systems, renewable energy infrastructure, and water and waste management. It also discusses the challenges and future directions of mechatronics in construction, addressing limitations, safety and ethical considerations, and potential advancements. The importance of mechatronics in transforming the construction industry and building sustainable infrastructure is emphasized, along with a call to action for further research and adoption of mechatronics in construction.

НОВІ ТРЕНДИ ТА ІННОВАЦІЇ В БУДІВЕЛЬНІЙ ГАЛУЗІ

The article is devoted to the issues of describing new trends and innovations in the construction industry. It is determined that the trends in the construction industry are largely focused on society, determining the main vector of development of construction companies – meeting the growing needs of the population and business. It is emphasised that the changing economic situation stimulates the development of new trends, which leads to a change in the business environment. The construction industry plays an important role in the structure of the national economy, as it creates all the conditions for its comprehensive development. It is the construction industry that determines the possibility of establishing the necessary infrastructure, communications, buildings and structures, and other nonresidential facilities in the economy and thus shapes the promising areas of development of territorial entities. The relevance of studying current trends and innovations in the construction industry is due to the fact that the identification of such trends allows not only to track the transformation of the construction sector, but also to identify the characteristic landmarks of future changes in real estate, which ultimately affects the entire economy. Today, trends in green development, the introduction of unique innovations that take into account the needs of modern consumers (households and businesses), the use of high technologies in the automation of many business processes, and a focus on creating added value for construction projects through the formation of comprehensive offers and the expansion of sales channels are of particular relevance. It is emphasised that new innovations in the construction industry are associated with the use of artificial intelligence and machine learning technologies; introduction of 3D printing technologies; promotion of modular construction practices; use of drones and robots in construction (robotics), mobile technologies for remote management and control; comprehensive digitalisation of business processes; promotion of the concept of ‘smart home’ and “smart city”; promotion of VR and AR technologies.

Towards Human-machine Collaboration in Autonomous Material Handling on Construction Sites

In the contemporary construction industry, the shortage of skilled labor has prompted the exploration of automation as a remedy and machine autonomy as a potential solution to the environmental conditions at the site. This research explores the balance between human oversight and the independent decision-making capabilities of robots for material delivery on construction sites. Using a scenario-based approach, autonomy in construction robotics is evaluated across four human-machine interaction cases with spatial and temporal dimensions. The expected outcomes revolve around improved safety through better human-machine communication and establishing an interoperable data model to enhance robot autonomy. This aims to automate tasks in challenging construction settings, addressing the shortage of skilled workers and expanding opportunities for individuals capable of meeting the physical demands of these environments.

Role of Robotics and Automation in Construction Sector

Construction is one of the major industries in the world. The construction industry is labor-intensive and performed in hazardous situations. Hence, the importance of Construction robots has developed rapidly. The research discovers the latest advances in robotics and sensor-based technologies that are leading developments in the construction sector to attain improvements in construction quality, efficiency, and safety. Although automation in construction was first introduced in the year 1980. It has seen little advancement in the level of application. The present study attempts to identify the recent developments in automated robotic systems and their scope in the construction sectors, namely with respect to construction robots. The application of robotic technologies in the construction industry has been known as one of the most challenging tasks. Automation in the construction industry can help to ensure production without compromising the quality of the construction products. This may be due to the fact that workers can become tired over time.

Optimizing the accuracy of an industrial robot: A model for improving positional accuracy

This article investigates methods for improving the positional accuracy of industrial robots, focusing on their movement dynamics, trajectory management, and fundamental principles of precise positioning. The research examines nine critical points within the gripper's working zone, shaped as a parallelepiped, which is essential for defining the accuracy limits of industrial robots. The study addresses the challenge of aligning the capture device with the ninth point by proposing a solution that involves precise movements along the diagonals of the parallelepiped to enhance accuracy. The article provides a detailed analysis of the construction and mechanics of industrial robots, emphasizing how different link configurations impact performance. It highlights the benefits of fewer links, which tend to maintain stable positional accuracy, while also discussing how an increase in the number of links leads to trajectory variations. These variations affect both robots with mobile bases and fixed- base robots, impacting practical applications such as machining where managing these trajectories is crucial to avoid collisions and ensure smooth operation. Additionally, the research explores the role of various coordinate systems in shaping the working zone and basic movements of industrial robots. It covers rectangular, cylindrical, spherical, and angular coordinate systems, each offering different perspectives on the robot's operational area. This comprehensive analysis aims to address the complexities associated with enhancing positional accuracy in industrial robotics.

Research Status Quo and Trends of Construction Robotics: A Bibliometric Analysis

Research Status Quo and Trends of Construction Robotics: A Bibliometric Analysis

Investigating momentum transfer with gall-forming wasps

Neuroterus saltatorius is a gall-forming wasp species endemic to the U.S. During summer, large numbers of galls detach from oak leaves and fall to the ground. They jump several times per minute in random directions earning them the moniker "jumping galls" or “flea seeds”. The mechanism behind this unique behavior has not been established, but one hypothesis suggests that encapsulated gall larva forces fluid through its U-shaped body at high speeds. The momentum of this fluid is transferred in such a way that a hopping motion occurs. We believe that understanding momentum transfer is important for applications focused on momentum transfer. Inspired by the jumping gall and to understand momentum transfer, we constructed a model using a mousetrap with attachable weights to demonstrate that a moving mass can cause jumping through momentum transfer. We predicted that adding weight to the arm would increase the jump height because the arm swings at the same speed with increased momentum from the larger mass. Increasing weights to the arm allowed us to identify the optimal mass for the highest jump. This modeling approach provided insights into the physical process underlying the galls' jumping behavior and extended beyond that. An application of the theory is to use momentum transfer when exploring microgravity environments like comets and asteroids because instrument packages cannot be moved by wheeled vehicles on extremely rough surfaces. An alternative is to construct robots capable of moving by momentum transfer.

Intelligent Sensing and Control of Road Construction Robot Scenes Based on Road Construction

Intelligent Sensing and Control of Road Construction Robot Scenes Based on Road Construction

A Review on Barriers in Implementation of Robotics Technology in the Construction Projects

One of the oldest and most important sectors of a country's economy is the construction sector. Through infrastructure projects, amenities, and real estate development, the Indian construction industry contributes significantly to the country's economic growth and nation-building. India is trailing behind the west in the application of robotics and automation in construction, while the west is seeing a rise in this field. An examination of the particular reasons limiting adoption in Indian building projects is presented in this research. The objective of the review is to identify and categorise the most critical challenges that are limiting the adoption of robotics in construction projects. The information provided will help those working in construction come up with mitigation plans. The results show that, while there is awareness of the benefits of adaptability and the use of robots in construction, there are a number of resistance factors that must be overcome for robotics to be successfully adopted in India. Generally speaking, professionals in the construction industry consider automation and robotics to be synonymous, and they believe that robotics is appropriate for a developing nation like India

Soft Medical Robots and Probes: Concise Survey of Current Advances

Soft robotics has emerged as a new branch of robotics gaining huge research interest in recent decades. Owning intrinsic advantages such as compliance and safety, soft robots are closely associated with the medical requirements of medical robots. This review is written to overview advances in the medical applications of soft robots, either for readers primarily familiar with traditional medical systems, or for researchers planning to develop soft robots for medical applications. Recent publications related to soft medical robots were reviewed to represent the state’, ’of’, ’the’, ’art advances in this field. The review tends to compress the scope to trunk’, ’shaped soft robots and appraise the status of soft robots and their distance from clinical use. Several papers related to the construction and capabilities of soft robots were referenced. Roughly 190 related articles published in the current period from 2018 to the publication date (representing almost 90% of the references to the theme totally identified) were reviewed. Structure of soft robots, advances in technology, and the aptitudes in medical applications were discussed. The trunk’, ’like soft robots conspicuously are proposed for applications including robot assisted surgery where a probe is inserted into the human body. Such robots are also present in other medical robots as actuators. The literature shows that different methods are used to fabricate soft robots and employ them in different robotics tasks including positioning, grasping, and force exertion. Noticeably, such studies were done in robotics laboratories, dealing with robotics engineering problems. This review suggests that the technology is actively developing, but further focus on specific medical applications is required to fill the gap between soft robotics and its clinical use.

Research of relationships between the technical parameters of industrial manipulators

Industrial manipulators have to become an integral part of modern construction production, playing a key role in the automation and optimization of production processes. When designing and using industrial manipulators, it is important to know the various parameters that interact with each other and affect the overall productivity and efficiency of the production line in which industrial manipulators operate. In the design of the robot process and construction production, it is necessary to know the technical requirements that need to be met by the robot system. Therefore, when designing industrial robots and manipulators, it is necessary to take into account the shape, dimensions, and weight of the building structures with which the industrial robot will work, as well as their physical and mechanical properties. These parameters will determine the general scheme and layout of the robot's components, the design of the clamping device and clamping force, the type of drive and its control principle. This paper is devoted to the identification of regularities between the main technical parameters of reach and lifting capacity of general-purpose industrial manipulators. Regression analysis with the use of hyperbolic and cubic splines is applied. The regression equations were solve based on the minimization of the total squared deviation of the correlation function.
 The results of the work will be useful for developers of industrial robots and researchers who are engaged in the development of robotic technological lines and productions.

Design and development of robotic collaborative system for automated construction of reciprocal frame structures

AbstractRobotic technologies have shown their potential to improve efficiency, precision, and safety for construction tasks. In this paper, the concept of design for robotic construction (DfRC) is introduced, and robotic collaborative systems are developed for the construction of load‐carrying structures. An automated structural assembly was achieved and demonstrated through robotics with a preference for reciprocal frame (RF) structures. Key innovations include the use of magnetic temporary connections to minimize offsets of mobile robots and linear actuators as temporary supports during construction. Furthermore, specific procedures are formulated to navigate the robots and to target and install the components using a fiducial marker system and simultaneous localization and mapping packages, with consideration of structural deformation during construction due to self‐weight. The successful assembly of a 4.5‐m span RF structure demonstrates the potential of DfRC and the proposed robotic collaborative system in the automated construction of load‐carrying structures.

Application and research of artificial intelligence in civil engineering intelligent construction

When artificial intelligence (AI) begins to intervene, the production and lifestyles of various industries have also undergone great changes. The civil engineering construction industry has taken this opportunity to carry out the industry transformation, from traditional civil engineering construction to the intelligent construction of civil engineering with the participation of AI. Through the dynamic tracking and data analysis of construction sites and buildings through AI, the life safety of construction workers can be ensured by improving efficiency and ensuring quality. This paper analyzes the feature of intelligent construction, and discusses the current situation of intelligent construction and the application progress of intelligent construction in civil engineering construction, including Building information modeling (BIM) technology, Internet of Things and big data technology, AI technology, virtual reality technology, three-dimensional scanning technology, intelligent equipment and construction robots. At the same time, the problems and disadvantages of AI in the construction field are analyzed, and the application prospect of intelligent construction technology in future engineering construction is forecasted.

Enhanced visual SLAM for construction robots by efficient integration of dynamic object segmentation and scene semantics

With the increasing adoption of autonomous mobile robots in the construction industry, accurate localization and mapping in dynamic construction environments have become paramount. This is typically tackled via Simultaneous Localization and Mapping (SLAM) techniques. Primarily designed for static environments, traditional SLAM systems struggle to maintain robustness and accuracy in dynamic settings. To address this challenge, this study presents an enhanced visual SLAM system specifically tailored for dynamic construction environments. The proposed system, named vSLAM-Con, introduces an adaptive dynamic object segmentation method, utilizing an innovative AD-keyframes selection mechanism grounded on optical flow magnitude to diminish computational overhead while preserving competitive tracking accuracy. Additionally, a semantic-based feature update process is developed, leveraging scene understanding and continuous observation to augment the reliability of tracking features. This system's performance, evaluated on both an established public benchmark and a custom construction dataset, shows substantial improvements over the baseline and competitive results with the state-of-the-art algorithms. More importantly, it largely reduces the processing time compared to state-of-the-arts, demonstrating robust tracking performance even under highly dynamic conditions. The findings highlight the system's potential to contribute significantly to autonomous robotics in construction, offering more accurate navigation and interaction capabilities in complex, ever-changing environments.

Incrеаsing students ' interest in the subject of phуsics by integrating the science of robotics

The rapid advancement of technology has significantly influenced the field of scientific research and innovation. This includes various areas such as robotics, physics, integration, and the application of knowledge. Designing experiments to test and analyze the impact of these advancements requires careful consideration. This study was conducted in the Almaty region of Kazakhstan, specifically in the 8th grade at Aset Beyseuov schools, to assess the learning outcomes of students in robotics in the 2022-2023 academic year. The participants were selected based on the school's curriculum and were part of a specialized cluster for robotics education. Following the eighth session, a questionnaire based on Torranstyn's study (1979) was administered to gather data on variables such as intrinsic motivation, student engagement, innovations, and career aspirations. As a result, 10 different tests and physics-related robotic construction activities were conducted. Covariance analysis was utilized to analyze the data. The findings of the study revealed a positive correlation between robotics education and students' academic progress in physics.

A Review of Identity and Roles of Robotics in the Healthcare Industry

Robotics is a branch of engineering that deals with the design, construction, operation and application of robots to perform some physical tasks on behalf of human beings with varying degrees of autonomy. Generally, robots are used to perform jobs that are highly repetitive or have a high risk towards human’s life. This article seeks to critically examine various classifications of robots used in the healthcare industry and their specific applications. This paper looks at advances made in the field of artificial intelligence (AI) and robotics mainly focusing on notable progress by key players like IBM Watson and Google’s DeepMind. The study explores robotic applications in different medical setups such as surgical operations, telemedicine, rehabilitation, radiation, telepresence, socially useful activities, and pharmacy services. Besides that, this article discusses how potentially imaging nurse robots, cleaning robot and delivery/transporting robot can change health care sector in future. The article underscores the need for more research and development efforts to enhance comprehension of the functionalities and potential uses of robots within the healthcare sector.

Applications of existing and emerging construction safety technologies

Safety is one of the most important success factors in construction projects. Many advanced technologies, such as Artificial Intelligence, construction robotics, and digital technologies, have been increasingly implemented to support safety activities on construction sites and improve workers' health. The objective of this paper is to investigate applications of existing and emerging construction safety technologies across different construction safety areas. A systematic review methodology was conducted to analyze 129 journal articles published from 2018 to 2023 related to construction safety technologies. The results of this study include a detailed categorization of advanced technologies in four construction safety categories: prevention through design, safety management, safety culture and awareness, and computing in construction safety. Additionally, a checklist of recommended technologies for specific construction safety improvement areas was developed. This study contributes to the body of knowledge by systematically categorizing and specifying the commonly used advanced technologies to address various construction safety problems.

Intention‐aware robot motion planning for safe worker–robot collaboration

AbstractRecent advances in robotics have enabled robots to collaborate with workers in shared, fenceless workplaces in construction and civil engineering, which can improve productivity and address labor shortages. However, this collaboration may lead to collisions between workers and robots. Targeting safe collaboration, this study proposes an intention‐aware motion planning method for robots to avoid collisions. This method involves two novel deep networks that allow robots to anticipate the motions of workers based on inferences about workers' motion intentions. Then, a probabilistic collision‐checking mechanism is developed that enables robots to estimate the collision probability with the motions of workers and generate collision‐free adjustments. The results verify that the method enables robots to predict workers' intended motions 1 s in advance and generate adjustments with a collision probability of less than 5.0% during collaborative masonry tasks. This study facilitates the safe implementation of collaborative robots in construction and civil engineering.

Pose estimation of an aerial construction robot based on motion and dynamic constraints

High accuracy pose estimation with high data rate of an aerial construction robot is the prerequisite for aerial construction robot control. A dynamic and motion constrained robust extended Kalman filter is developed for robot localization in aerial construction environment which is characterized by radio signal occlusion and few visual features. The motion constraints of the gondola are derived to estimate constrained pose of the gondola while the dynamic constraints of the gondola are introduced to inhibit spike-like data mutation when the gondola shakes back to the measurement range of the self-developed laser spot vision system. Moreover, the robust factor technique is adopted to inhibit instantaneous large outliers. The experimental results show that the pose estimation based on the dynamic and motion constrained robust extended Kalman filter achieves pose measurement of the aerial construction robot with mean position accuracy less than 0.015 m and mean attitude accuracy less than 0.003 rad.

Optically Transparent and Color-Stable Elastomer with Structural Coloration under Elongation.

Optically transparent and colored elastomers with high toughness are expected to play an important role in the construction of advanced medical materials, wearable displays, and soft robots. In this study, we found that composite elastomers consisting of amorphous SiO2 particles homogeneously dispersed in high concentrations within a biocompatible acrylic polymer network exhibit optical transparency and bright structural colors. In the composite elastomers, the system in which the SiO2 particles form a colloidal amorphous array hardly changes its structural color hue despite deformation due to elongation. Furthermore, the composite elastomer of the SiO2 particles with the acrylic polymer network also results in high mechanical toughness. In summary, we have shown that the elastomer that exhibits fade-resistant structural coloration formed from safe materials can combine stable coloration and mechanical strength independent of their shape. This is expected to have new potential in future technologies to support our daily life.