Dangerous Tasks Research Articles

Optimization of unmanned aerial vehicle inspection strategy for infrastructure based on model-enabled diagnostics and prognostics

The use of unmanned aerial vehicles (UAVs) for structural health inspection has become a promising technique to perform labor-intensive, accessibility-challenged, and sometimes dangerous inspection tasks. This paper presents a novel physics-informed UAV inspection planning framework for infrastructure structural health assessment based on model-based diagnostics and prognostics enabled by physics-based probabilistic analysis. It bridges the gap between UAV mission planning and inspection with model-based probabilistic analysis, by allowing bidirectional information exchange, namely (1) structural damage state diagnostics using UAV inspection data and (2) UAV inspection optimization through model-based failure prognostics. Based on the bidirectional communication, the impacts of the three key UAV inspection parameters (i.e., inspection distance, inspection interval, and critical maintenance threshold) on structural life-cycle cost are analyzed. The optimization of key UAV inspection parameters is achieved by minimizing the cost per unit time (CPUT) through model-based pre-posterior analysis. In this analysis, synthetic observations are generated using predictive models according to the prior distributions of various uncertainty sources (e.g., detection rate, damage state evolution, etc.). The generated synthetic observations are then used to obtain the posterior distributions of uncertain parameters, enabling the integration of prior information and Bayesian model updating into inspection optimization through a cost function. The proposed model offers a robust method to accommodate the inherent uncertainties in failure prognostics, leading to a more effective optimization of the UAV inspection parameters. The practical application of the framework is demonstrated through a miter gate example. The results show that the proposed method is able to efficiently determine the optimal UAV inspection parameters and continuously update the information model.

Cooperative Decisions of a Multi-Agent System for the Target-Pursuit Problem in Manned–Unmanned Environment

With the development of intelligent technology, multi-agent systems have been widely applied in military and civilian fields. Compared to a single platform, multi-agent systems can complete more dangerous, difficult, and heavy tasks. However, due to the limited autonomy of unmanned platforms and the regulatory needs of personnel, multi-agent systems cooperating with manned platforms to perform tasks have been more widely promoted at this stage of development. This paper addresses a differential game method for cooperative decision-making of a multi-agent system cooperating with the manned platform for the target-pursuit problem. The manned platform pursues the target according to a certain trajectory, and its state can be obtained by the multi-agent system. Firstly, for the case that the target moves with a fixed trajectory, the target-pursuit problem in a manned–unmanned environment is viewed in the form of game based on a communication graph among agents. Secondly, strategies of all agents are proposed while maintaining their group cohesion. A set of coupled differential equations is solved to implement strategy calculation. Compared to purely unmanned systems, the strategies combine the advantages of the manned platform and add a reference item, which can achieve team cohesion relatively quickly. Furthermore, a brief analysis is made on the scenarios where the target is in another case or adopts other strategies. Finally, comparative simulations have verified the effectiveness and synergy of the strategy.

The Psychomotor Cognition Test for Measurement of Sleepiness/Fatigue on a Touch Screen.

The Psychomotor Vigilance Test (PVT) is a simple and reliable performance test that measures sustained attention, alertness level, and fatigue level. The PVT is a convenient tool that can be used in real time in situ through a mobile device without the assistance of experts and therefore can be used to improve safety and prevent accidents. However, the original PVT is vulnerable to the subject's intentional concentration on the test, and the variance range among tests is narrow; these factors limit its usefulness in classifying the level of fatigue. This study overcome these limitations and develop the Psychomotor Cognition Test (PCT) by transforming the PVT into a tool that stably classifies fatigue levels, still requiring a short period of time. In the PCT, compared to the PVT, reaction time is significantly longer, and success rate is significantly lower (both p<0.0001). Whereas reaction time and success rate of the PVT do not show a significant correlation with fatigue level, those of the PCT show significant correlations with fatigue level, respectively (p<0.001). This study suggests that the PCT can be used in real time in situ as a risk management tool for workers performing dangerous tasks and can become an even more powerful tool when combined with other physiological indicators.

Urban Firefighting Drones: Precise Throwing from UAV

In recent years, the use of unmanned aerial vehicles has spread across different fields of the industry due to their ease of deployment and minimal operational risk. Firefighting is a dangerous task for the humans involved, in which the use of UAVs presents itself as a good first-action protocol for a rapid response to an incipient fire because of their safety and speed of action. Current research is mainly focused on wildland fires, but fires in urban environments are barely mentioned in the bibliography. To motivate the research on this topic, ICUAS’22 organized an international competition inspired by this mission, with the challenge of a UAV traversing an area populated by obstacles, finding a target, and precisely throwing a ball to it. For this competition, the Computer Vision and Aerial Robotics (CVAR-UPM) team developed a solution composed of multiple modules and structured by a mission planner. In this paper, we describe our approach and the developed architecture that led us to be awarded the first prize in the competition.

Stability Control of Humanoid Biped Robot using PID Controllers

As technology has advanced, the usage of robots has become a major worldwide issue, especially for robots that interact with people. Humanoid biped robots have the potential to function as people's helpers, capable of assisting society and replacing humans in various or dangerous tasks. However, despite advances in robotic stability control, robust control for a broad variety of applications remains a difficulty. The purpose of this research is to look at optimum control techniques for stability control in humanoid biped robots in order to obtain superior stability. To regulate the robot's stability, several control techniques such as Proportional-Integral-Derivative control, Proportional-Integral control, Proportional-Derivative control, and Linear Quadratic Regulator (LQR) are utilised. Before implementing these control techniques, the humanoid biped robot's open loop system is evaluated to determine its stability response. To investigate the system response of robot stability control, the MATLAB programme is used.

Study of Differential Evolution Variants in the Dimensional Synthesis of Four-Bar Grashof-Type Mechanisms

Mechanisms have allowed for the automation of complex, repetitive, demanding, or dangerous tasks for humans. Among the different mechanisms, those with a closed kinematic chain are more precise and robust compared to open chain ones, which makes them suitable for many applications. One of the most widely used closed-chain alternatives is the four-bar Grashof-type mechanism, as it can generate highly nonlinear closed trajectories with a single degree of freedom. However, the dimensional synthesis of these mechanisms to generate specific trajectories is a complex task. Fortunately, computational methods known as metaheuristics can solve such problems effectively. Differential Evolution (DE) is a metaheuristic commonly used to tackle the dimensional synthesis problem. This paper presents a comparative study of the most commonly used variants of DE in solving the dimensional synthesis problem of four-bar Grashof-type mechanisms. The purpose of the study is to provide guidelines to choose the best DE alternative for solving problems of this type, as well as to support the development of DE-based algorithms that can solve more specific cases effectively. After analysis, the rand/1/exp variant was found to be the most effective in solving the dimensional synthesis problem, which was followed by best/1/bin. Based on these results, a Simple and Improved DE (SIDE) variant based on these two was proposed. The competitive performance of the SIDE with respect to the studied DE variants and in contrast to the results of algorithms used in the recent specialized literature for mechanism synthesis illustrates the usefulness of the study.

MultiGAS Detection from Airborne Platforms on Italian Volcanic and Geothermal Areas

The measurement of volcanic gases, such as CO2 and SO2, emitted from summit craters and fumaroles is crucial to monitor volcanic activity, providing estimations of gases fluxes, and geochemical information that helps to assess the status and the risk level of an active volcano. During high degassing events, the measurement of volcanic emissions is a dangerous task that cannot be performed using hand portable or backpack carried gas analysis systems. Measurements of gases plumes could be safety achieved by using instruments mounted on UAS (Unmanned Aerial System). In this work, we present the measurements of CO2, SO2, and H2S gases collected with a miniaturized MultiGAS instrument during 2021 and 2022 field campaigns. They took place at several thermally active areas in Italy: Pisciarelli (Naples, Italy), Stromboli volcano (Messina, Italy), and Parco Naturalistico delle Biancane (Grosseto, Italy).

Robotic date fruit harvesting using machine vision and a 5‐DOF manipulator

AbstractDate fruits can be found at the highest point of the palm tree, so harvesting can be a dangerous task for humans. In this study, a robotic arm is presented to harvest date fruits. A manipulator, traveling on a U‐shaped rail with four prismatic joints and one revolute joint, was designed and constructed to approach the fruits efficiently. The end‐effector of the manipulator was an electric chainsaw capable of cutting the date bunch. Two cameras were located on the manipulator in perpendicular directions to capture images, which were then transmitted to a decision‐making unit to control the speed of the manipulator links. The decision‐making unit included three fuzzy inference systems that used the location data of the fruit bunch stems and the area of tree leaves in the images to determine the speed of electromotors of the trolley, horizontal link, and vertical link. An artificial palm tree with dimensions similar to a real palm tree was constructed to evaluate the performance of the robot. The performance of the robot was evaluated in various lighting conditions. The results showed that the introduced image processing algorithm could adequately detect the stems of the date bunches with accuracy, precision, and recall of 0.88, 0.92, and 0.96, respectively, in suitable lighting, that is, when there was sufficient natural lighting. Moreover, the experimental results revealed that the accuracy of the control system in cutting the stems was 87%, with a production loss of 5%. The proposed robot makes it possible to improve the capacity of using mechanized harvesting in date palm fields.

Path Planning Method for Underground Survey Robot in Dangerous Scenarios

Over the past 20 years, there has been a growing demand for autonomous exploration of underground environments such as tunnels, urban underground corridors, and complex cave environments. With the development of robotics, dangerous tasks that used to be done by humans have been replaced by underground survey robots. To avoid obstacles in the process of robot work, path planning technology has become one of the important components of underground survey robot. The underground survey robot not only needs to move in the plane, but also needs to climb along the pipe. However, the existing research is mostly two-dimensional plane, which cannot be directly applied to the underground exploration robot. Firstly, this paper compares the existing research and chooses Dijkstra algorithm for three-dimensional implementation. After that, the environment map is established, and the position of obstacles faced by the robot was set for simulation verification. Simulation results show the effectiveness of the proposed algorithm.

Mechanical Design, Planning, and Control for Legged Robots in Distillation Columns

Abstract Dexterous robots have great potential to execute industrial tasks that are not suited to humans. In this work, a novel robotic mobility platform is proposed for use in the chemical industry to enable autonomous distillation column inspection—a tedious and dangerous task for humans. A roller arm mechanism is designed for a quadrupedal robot that enables moving across the distillation column. Required dynamic behaviors are generated with full-body motion planning and low-level control. The holistic process of mechanical design, planning, and control leads to desired behavior, as demonstrated by high-fidelity simulations. This marks a key step toward operating legged robots inside distillation columns.

Mission specification and decomposition for multi-robot systems

Service robots are increasingly being used to perform missions comprising dangerous or tedious tasks previously executed by humans. However, their users—who know the environment and requirements for these missions—have limited or no robotics experience. As such, they often find the process of allocating concrete tasks to each robot within a multi-robot system (MRS) very challenging. Our paper introduces a framework for Multi-Robot mission Specification and decomposition (MutRoSe) that simplifies and automates key activities of this process. To that end, MutRoSe allows an MRS mission designer to define all relevant aspects of a mission and its environment in a high-level specification language that accounts for the variability of real-world scenarios, the dependencies between task instances, and the reusability of task libraries. Additionally, MutRoSe automates the decomposition of MRS missions defined in this language into task instances, which can then be allocated to specific robots for execution—with all task dependencies appropriately taken into account. We illustrate the application of MutRoSe and show its effectiveness for four missions taken from a recently published repository of MRS applications.

Rules of Takfir with the Ahl-Sunnah wal-Jama’ah

Ahl alsunnat wal Jamaat (ASWJ), generally, is referred to people who believe in the deeds of the first three Kholafai Rashidin, while in particular, Ahle sunnat is referred to the ones who accept the almighty Allah’s Names and epithets without any amendments. Ahle sunnat are the pure followers of Prophet Mohammad PBUH and are good followers of the Sahabas and their deeds. Ahle Sunnat followers are large in terms of number and out of which the forefronts of the four sects and the authors of six major books of hadith. According to Ahle sunnet wal Jamaat, the (takfir) is divided into two types one is Mutlaq takfir, and the other is takfir, a certain person. The first one is blaming someone or some idea of takfir, which is also considered as takfir in the Islamic sharia and is in coordination with it that of the Ahle sunnat, but in reality, the doer, the one saying it, or the performerof the things is not considered a disbeliever. The second is a certain type of takfir. Ahle sunnat doesn’t blame anyone on takfir unless all the conditions of takfir are met because blaming someone as a kafir is a big deal and a dangerous task; therefore, it is necessary to be extremely cautious and considerate. Allowing the killing of a Muslim person is a wrong deed. In fact, letting one thousand disbelievers free is not as big of a sin as killing one Muslim without clear justification. As the Ahl sunnat wal jamaat are considerate, careful, and moderate people in all deeds, therefore their blaming of others as disbelievers are also very cautious and are considered the moderate ones among the khawarej, moatazel the murjia.

РОЗРОБКА ПРОЦЕДУРИ КЕРУВАННЯ ПСИХОСОЦІАЛЬНИМИ РИЗИКАМИ НА ПРОМИСЛОВИХ ПІДПРИЄМСТВАХ

Purpose. Development of the process of managing psychosocial risks in the conditions of an industrial enterprise based on the ISO 45003:2021 standard in the occupational health and safety management system. Methodology. Using a systematic approach, which is a form of superimposition of the theory of cognition and dialectics, to study the processes taking place in the management systems of occupational safety and health of employees, a method for assessing psychosocial risk has been developed, which includes three main stages: preparation (selection, clarification of questionnaires letters that take into account the specifics of a specific organization), collection of information on the relationship between work and mental health and analysis of data on psychosocial risks and well-being. Research results. The "Bowtie" method for assessing psychosocial risks has been improved, which differs from the known one by taking into account the set of interconnected elements that represent the output (measures to reduce the severity of the consequences and improve the health of the employee), input (dangers) and related with the internal and external environment (dangerous psychosocial factors that increase the probability of the occurrence of a dangerous event - experiencing stress), feedback (employee's state of health). The proposed method of managing psychosocial risks, which involves eight main steps: researching the external and internal environment, drawing up a questionnaire to determine the influential dangerous psychosocial factors, conducting an assessment of psychosocial risks, clarifying assessments based on the level of individual health of employees, developing preventive measures to reduce the severity of the consequences and the recovery of workers' health, documenting the risk assessment and verifying the level of risk after the introduction of preventive measures. An assessment of the psychosocial risks of the compressor plant operator has been carried out, thirteen stressors that affect the activity of workers have been identified, and the preventive measures to reduce the stress level have also been proposed. Scientific novelty. The relationship between stressful factors and the reaction of employees, taking into account individual characteristics, is shown, which is taken into account when assessing the level of stress in the fourth step to refine the evaluation indicators. Practical significance. A questionnaire which presents five groups of dangerous factors, namely: aspects of work organization, social factors, working environment, equipment, dangerous tasks with suggestions of specific factors inherent in the workflow, has been developed.

Unlocking the Benefits of Mobile Manipulators for Small and Medium-Sized Enterprises: A Comprehensive Study

The mobile manipulator is a relatively recent development in the robotics domain. It is a type of robot system that extends the manipulation capabilities of a robotic arm by the mobility capabilities of a mobile platform. As a result, mobile manipulators promise to provide a wider usage of manipulators (for example, by extending their reach) and to enable automation of use cases that are still manually performed. They can, for instance, automate repetitive tasks, freeing human workers to focus on more valuable tasks. They can also be deployed to perform dangerous or difficult tasks, reducing the risk of workplace injuries. Additionally, using mobile manipulators can help meet the growing demand for fast and flexible production processes, enabling them to better compete in a rapidly changing market. However, integrating these systems bears complexity, high acquisition costs, and unsolved safety and security challenges. Therefore, this new approach is only beginning to be adopted in the manufacturing industry. Especially small and medium-sized companies (SMEs) suffer from these challenges, as they usually have fewer resources. However, mobile manipulators are a valuable tool to enhance their competitiveness and profitability in various industries. In order to unleash these benefits, this paper provides a comprehensive review of application cases of mobile manipulators within smart factory setups. It focuses on specific requirements and advantages for SMEs.

Design and control of an aerial-ground tethered tendon-driven continuum robot with hybrid routing

Combining aerial and continuum robots harnesses both their flexibility and manoeuvrability to potentially perform dangerous maintenance tasks. However, such systems require heavy payloads to interact with its environment. An aerial-ground tethered tendon-driven continuum robot is thus proposed to tackle the limitations of on-board payload aerial systems and the underactuation of multirotors. Due to the natural limitation on the tendons used in the implementation of aerial ground tethered continuum robots, we explore the use of hybrid polynomial and parallel routes to achieve desired workspace profiles, while providing intuition on choosing suitable tendon routes. In this work, we leverage on geometrically exact methods to derive the differential kinematics of the aerial continuum robot using actuation sensors particularly for polynomial tendon routes. We demonstrate that both position and orientation can be controlled using a single stage continuum robot with hybrid tendon routing. Finally, a simple manoeuvre is executed by the aerial continuum robot prototype to validate the proposed proof of concept.

Robots in tourism and Sustainable Development Goals: Tourism Agenda 2030 perspective article

PropósitoEl propósito de este artículo de perspectiva es investigar el papel de los robots en la contribución del turismo al logro de los Objetivos de Desarrollo Sostenible (ODS).Diseño/metodología/propuestaLos autores aportan una interpretación sobre los impactos, tanto positivos como negativos de los robots en el turismo hacia el logro de los ODS sobre un profundo análisis de los 17 ODS y sus 169 metas.HallazgosPara varios ODS, el impacto positivo de los robots en el turismo es evidente, mientras que para otros puede debatirse, ya que la adopción de robots puede generar impactos tanto positivos como negativos, dependiendo principalmente de cómo se utilicen. En particular, los robots pueden proporcionar un entorno de trabajo digno para los empleados de turismo y hostelería (ODS 8) que realizan tareas peligrosas, al tiempo que reducen el consumo de recursos (ODS 2, 6, 7, 12, 13) debido a su contribución a la eficacia y eficiencia de una empresa turística. De igual forma, los robots tienen algunos impactos en el medio ambiente, tanto en términos de uso de recursos (su fabricación se basa en materiales de tierras raras y los robots demandan energía) como de producción, especialmente para la gestión de desechos tóxicos (p. ej., baterías).OriginalidadEste artículo de perspectiva es uno de los primeros estudios que investigan el papel que pueden desempeñar los robots en el logro de los ODS por parte de las empresas de turismo y hostelería.Limitaciones/implicaciones de la investigaciónLa principal limitación de este artículo de perspectiva es la falta de medición empírica de los efectos de los robots en el turismo en el logro de los ODS. Sin embargo, es una exploración necesaria como base para futuras investigaciones.Implicaciones prácticasEste artículo de perspectiva puede ser útil para que los fabricantes de robots identifiquen los aspectos positivos y negativos al diseñar robots sostenibles (en términos de eficiencia energética, gestión del final de la vida útil de los componentes, etc.) y así cumplir con las expectativas de los ODS. Puede ser útil para las empresas de turismo y hostelería cuando sus gerentes evalúan, si adoptar o no robots en las operaciones de servicioImplicaciones socialesEsta contribución discute las implicaciones sociales en la adopción de robots en el turismo y la hostelería, específicamente en términos de nuevas oportunidades de empleo, y en la sustitución de humanos en tareas rutinarias, aburridas o peligrosas. Ayuda a los responsables políticos a adoptar mejores políticas para fomentar el uso de robots en el turismo y la hostelería teniendo en cuenta las ramificaciones ambientales y sociales de éstos.

Boneyarn by David Mills

Reviewed by: Boneyarn by David Mills Ilka Scobie (bio) boneyarn David Mills Ashland Poetry Press https://www.ashlandpoetrypress.com/online-catalog/other-books/boneyarn 144 pages; Print, $17.95 Along the city's jawline bythe wharf where a peck of slaveswere auctioned In 1630, one hundred enslaved Africans (one-third of the population) lived in New Amsterdam, soon to be New York City. By 1712 New York was an epicenter of the slave trade, and a cemetery was created for Negroes, enslaved or free, as well as Native Americans and indentured whites. About fifteen thousand bodies were unceremoniously buried there, and it was not until October 1991 that an excavation crew for a new federal building discovered the remains of 419 human skeletons. Thus was the African Burial Ground, the oldest and largest slave cemetery in America, unearthed. "See: all of us / now mothered by mother earth / and murder's milk." With a powerful trifecta of history, lyricism, and empathy, David Mills creates a sweeping poetic vision of this story. Voices of the enslaved Africans explore the fraught complexity, the abuse of power, and slavery's unspeakable horrors. One block from today's New York Stock Exchange a slave market thrived, and more enslaved Africans lived in New York than in any other American city except for the booming slave center of Charleston, South Carolina. Mills delves into a hidden history of pre-Revolutionary New York. Slave rebellions, early African American writers, interracial love affairs, colonial history—all are fodder for his poetic masterpiece. We learn that the kidnapped African-born slaves maintained strong teeth (some of which were sculpted into various shapes, indicating their African birthplace) but their enslaved children were starved on a carbohydrate diet, thus the toothless child corpses. "In the child graves, their teeth were almost always gone. / Cause they were the here born. The start / life. The too-often sugar and corn suppers." [End Page 116] The slaves were often buried with artifacts, buttons, bracelets, and beads, some of which were made in Africa. In the haunting poem "to the Bones; About the Beads: Talking," a forty-year-old woman's skeleton was found with beads belted around her waist. Using this fact as the basis for the poem, Mills presents the West African beads as the secret the woman wore throughout her enslaved years, a symbol of her ancestral heritage. "Imagine / feeling like you're carrying a country around your waist / … or maybe just clinched echoes of that ocean, salt / reminders of a white man's transatlantic tantrum." The reader is introduced to the profound shame of child slave chimney sweeps, their young bodies starved and deformed from the dangerous task of climbing up and cleaning narrow, creosote-infested chimney flues. "Started printcin' when I was I was six … My life up in nothin' but smoke." "My should-be-blooming bones squashed from twist and scrunch; limbs wrung from heavin' bags of soot twice my teeny self." Equally horrifying is the fact that the fledgling Columbia University students (some as young as fifteen) regularly robbed graves at the African Burial Ground, using the cadavers for anatomy class. "Talking to the Bones: Columbia Graverobber Victim" begins with the punch: "Who did this? Abuse's students." Continuing to delve into this travesty, "Autopsy's insights, legged real / estate could've properly been considered property. / Hell, at the end of the day, they were just homework." When free Negroes petitioned for the enslaved bodies to at least be treated with dignity, "the Bone Bill" would have stopped grave-robbing but was not passed by the Common Council (today's equivalent of the City Council). Dividing his book into nine sections, Mills excavates a hidden American history with intellectual vigor and grand poetic expansiveness. Thus he is able to introduce Phillis Wheatley in two poems. "An Almost Audience" details facts about the first published African American female poet. "Bought then brought on the Middle Passage but would one day read passages of her work in London." And in "Sable Marginalia" the brilliant writer and first Negro woman published in the New World is freed, but her "final days were spent shriveling / as a scullery maid / in...

Исследование метода одновременного планирования траектории и последовательности деформаций для тенсегрити-дрона

Modern aerial robots, in particular the drones, are developing at a rapid pace. Drones appear to be a promising area in robotics performing dangerous tasks during search and rescue operations, as well as in practical applications such as photography and cinematography. An urgent task is to ensure the drone safety against their mechanical damage when interacting with the external environment, as well as the safety of people in case of contact with the drones. To solve this problem, it is advisable to use tensegrity drones with the deformable structure and the ability to adapt to the changing environment parameters taking into account the obstacles encountered in the flight. These drones are able to ensure the controlled deformation of their fuselage in flight making them more mobile in difficult environments. A method was previously proposed to plan such trajectories based on solving the optimization problem with the linear matrix inequalities. However, numerical properties of the method remained unexplored. The problem of planning the tensegrity drone flight was considered. Numerical experiments were carried out. It was established that the surrounding space geometry had insignificant effect on the task implementation, but very significantly affected computational complexity and elapsed processor time.

IoT Based Bomb Diffusing Robot

Abstract: Diffusing any explosive materials is an extremely dangerous and risky task which needs constant attention and high degree of accuracy. Keeping in view the current law and order situation throughout the world, everyday hundreds of trained bomb diffuser squad members are either injured or lose their lives while defusing bombs. Hence we have come up with the design and prototype of a robot with the help of Embedded and IOT Technology, which will help the bomb diffusing squad members to diffuse the bomb from safer distance without actual human interference at the site thus minimizing the risk of any health hazards/ serious life injury of people present at the site.

Development of surveillance robot based on face recognition using Raspberry-PI and IOT

The advancement in recent technologies such as artificial intelligence (AI), computer vision (CV) and internet of things (IoT) extends to various areas, especially surveillance systems that require real-time facial recognition processing to ensure safety. In fact, mobile robots are widely used in surveillance systems to perform dangerous tasks that humans cannot.In this context, we propose a prototype of a low-cost mobile surveillance robot based on Raspberry PI 4 which can be integrated into any industrial area. This intelligent robot checks about the presence of intruder using IoT and face recognition technology.The system is equipped with passive infrared (PIR) sensor and camera to record live streaming video and photos, which are transmitted to the room control via IoT.Thanks to facial recognition algorithms, the system can distinguish between company personnel and intruders. Haar Cascade Classifier and LBPH (Local Binary Pattern Histogram) algorithm are used in image processing to detect and identify individuals. When a stranger is detected, alert notifications and email with captured image are sent to the room control via IoT. A web interface was developed to remotely control the designed robot via a WiFi connection. This application allows monitoring of a wide area and can improve the robot's perception system. Performance evaluations will be conducted to demonstrate the effectiveness and robustness of the face recognition algorithms used in this framework.