Showing papers on "Rescue robot published in 2023"
TL;DR: In this article , a review of publications linked to fire evacuation and rescue robots is presented, where the authors read research papers on relevant issues to obtain information to help us create a system to rescue individuals who are caught in dangerous situations due to fire.
Abstract: In this paper, we will read research papers on relevant issues to obtain information to help us create a system to rescue individuals who are caught in dangerous situations due to fire. This paper comprises the review of publications linked to fire evacuation and rescue robots. This robot is intended to rescue people trapped in a burning building and transport them to a safer area. Here, we'll path-plan the quickest route from the escapee's location to the exit and dispatch the robot to rescue and take them there. Human interruption has decreased as a result of mechanical technology advancements, and robots are now used for a variety of tasks as well as for the welfare of humans. The firefighters may utilise this firefighting robot in addition to them in emergency scenarios. A robot firefighter should be able to look about a given region, find the flame, and extinguish it. To complete these duties, the robot needs the proper controller. The work given here is a mini-project that is taken up as a part of the curriculum completed by electronics and communication engineering students in the second year of the electronics & communication engineering department at Dayananda Sagar College of Engineering in Bangalore.
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TL;DR: In this article , a mission assignment method based on adaptive genetic algorithms (AGA) and a path planning method using sinecosine particle swarm optimization (SCPSO) are proposed.
Abstract: In a three-dimensional (3D) disaster rescue mission environment, multi-drone mission assignments and path planning are challenging. Aiming at this problem, a mission assignment method based on adaptive genetic algorithms (AGA) and a path planning method using sine–cosine particle swarm optimization (SCPSO) are proposed. First, an original 3D digital terrain model is constructed. Second, common threat sources in disaster rescue environments are modeled, including mountains, transmission towers, and severe weather. Third, a cost–revenue function that considers factors such as drone performance, demand for mission points, elevation cost, and threat sources, is formulated to assign missions to multiple drones. Fourth, an AGA is employed to realize the multi-drone mission assignment. To enhance convergence speed and optimize performance in finding the optimal solution, an AGA using both the roulette method and the elite retention method is proposed. Additionally, the parameters of the AGA are adjusted according to the changes in the fitness function. Furthermore, the improved circle algorithm is also used to preprocess the mission sequence for AGA. Finally, based on the sine–cosine function model, a SCPSO is proposed for planning the optimal flight path between adjacent task points. In addition, the inertia and acceleration coefficients of linear weights are designed for SCPSO so as to enhance its performance to escape the local minimum, explore the search space more thoroughly, and achieve the purpose of global optimization. A multitude of simulation experiments have demonstrated the validity of our method.
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TL;DR: In this article , a dual-robot system solution for search and rescue in an underground building environment is proposed, where the primary robot is used to quickly explore the environment in a wide range, identify objects, cross difficult obstacles, and so on.
Abstract: The underground building environment plays an increasingly important role in the construction of modern cities. To deal with possible fires, collapses, and so on, in underground building space, it is a general trend to use rescue robots to replace humans. This paper proposes a dual‐robot system solution for search and rescue in an underground building environment. To speed up rescue and search, the two robots focus on different tasks. However, the environmental perception information and location of them are shared. The primary robot is used to quickly explore the environment in a wide range, identify objects, cross difficult obstacles, and so on. The secondary robot is responsible for grabbing, carrying items, clearing obstacles, and so on. In response to the difficulty of rescue caused by unknown scenes, the Lidar, inertial measurement unit and multiview cameras are integrated for large‐scale 3D environment mapping. The depth camera detects the objects to be rescued and locate them on the map. A six‐degree‐of‐freedom manipulator with a two‐finger gripper is equipped to open doors and clear roadblocks during the rescue. To solve the problem of severe signal attenuation caused by reinforced concrete walls, corners and long‐distance transmission, a wireless multinode networking solution is adopted. In the case of a weak wireless signal, the primary robot uses autonomous exploration for environmental perception. Experimental results show the robots' system has high reliability in over‐the‐horizon maneuvering, teleoperation of the door opening and grasping, object searching, and environmental perception, and can be well applied to underground search and rescue.
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TL;DR: In this paper , a robot is equipped with a specific set of sensors that provide information about the presence of a person in the disaster areas, such as Passive Infrared Sensors (PIR) are the most widely used sensors for surveillance, it detects the alive person who is stuck in the damage caused by disaster.
Abstract: Abstract: Disasters can disrupt economic and social balance of the society. Many people die while trapped under debris during natural disasters or manmade disasters. This is because their presence was not able to detect by the rescue team as many challenges arises in the disaster area. After any disaster, it is crucial to rescue defectors. Sometimes the rescue team cannot reach many parts of disaster affected area due to the inability to search for the live person in the debris. In order to detect a human body, a robot is equipped with a specific set of sensors that provide information about the presence of a person in the disaster areas. Passive Infrared Sensors (PIR) are the most widely used sensors for surveillance, it detects the alive person who is stuck in the damage caused by disaster. The temperature sensor analyses the temperature around the disaster area. Fire sensor alerts the system if there is any fire accident around the damaged area. Gas sensors alerts the system user so that they can take necessary protocol before rescuing someone. A wireless camera that can transmit live video in low light conditions to the rescue team outside the vicinity. When a human is detected, to get the location of the victim GPS and GSM module is used.
TL;DR: In this article , a framework for the development, control, and deployment of a rescue robot is presented, where automated and hybrid robot control systems in addition to conventional manual control are proposed.
Abstract: Aging social infrastructure needs maintenance and inspection for which robot technology is highly effective. It is also effective for disaster rescue and recovery operations. Tunnel disaster rescue is risky for human workers. Robot technology can perform this work easily and accelerate rescue and recovery operations. This paper introduces a framework for the rescue robot development, control, and deployment steps. This framework also proposes automated and hybrid robot control systems in addition to conventional manual control. A multi-robot collaboration system causes the proposed control system to be convenient for deployment, reliable, and accelerate rescue work. In the development phase, controllers and different additional assistance tools for the robot have been developed in addition to the basic robot. As the proposed framework has been cultivated through our development and team collaboration training for the World Robot Summit (WRS) and the actual competition of the WRS, we will also present what we have achieved at the WRS.
05 Jun 2023
TL;DR: In this paper , the authors propose a motion prediction pipeline for firefighters' squads in indoor search and rescue, where paths are generated with an optimal graph-based planning approach representing firefighters' tactics.
Abstract: Firefighting is a complex, yet low automated task. To mitigate ergonomic and safety related risks on the human operators, robots could be deployed in a collaborative approach. To allow human-robot teams in firefighting, important basics are missing. Amongst other aspects, the robot must predict the human motion as occlusion is ever-present. In this work, we propose a novel motion prediction pipeline for firefighters' squads in indoor search and rescue. The squad paths are generated with an optimal graph-based planning approach representing firefighters' tactics. Paths are generated per room which allows to dynamically adapt the path locally without global re-planning. The motion of singular agents is simulated using a modification of the headed social force model. We evaluate the pipeline for feasibility with a novel data set generated from real footage and show the computational efficiency.
TL;DR: In this article , an environmental monitoring robot system for remote sensing in coal mines is introduced, which is designed to remotely collect information about the coal mine's surroundings, in addition to performing observational tasks.
Abstract: Abstract: The tasks involved in rescue operations in coal mines are hazardous and life-threatening. Many explosions take place from time to time, but the miners are not aware of them. It is also very difficult for the rescue squad to comprehend the situation within the mine. Hazardous gases, high temperatures, methane leaks, and low oxygen levels are examples of environmental issues. An environmental monitoring robot system for remote sensing in coal mines is introduced in this study. This robot system is designed to remotely collect information about the coal mine's surroundings, in addition to performing observational tasks. As a result, this device can be thought of as a multifunctional sensor that enables distant sensing. When it senses danger, the robot system will send out signals warning rescuers to keep their distance. Lessons from the creation of the robot system may be applied to the development of future search-and-rescue systems
03 Mar 2023
TL;DR: In this paper , the authors integrated state-of-the-art methods to develop an autonomous snake robot that can navigate in an unknown environment while also generating a 3D map, to provide a better idea of the environment to the rescue workers.
Abstract: In an Urban Search and Rescue situation, under extreme time pressure, rescue workers have to locate and extract the trapped people in collapsed structures. Due to the lack of medical treatment, food, and water, the victim's mortality rate dramatically increases over time. Rescue operations for both rescue workers and victims might be as dangerous as the initial event. For such situations, snake robots which are inspired by their biological counterparts, are shown to be a good option in the literature, to help the rescue workers in positioning the victims or delivering life-saving drugs to extend the life of the victims for some time. However, current research mainly focuses on mechanical design, control mechanisms, and gait generation. To alleviate this concern, we have integrated state-of-the-art methods to develop an autonomous snake robot that can navigate in an unknown environment while also generating a 3D map, to provide a better idea of the environment to the rescue workers. A simulated maze environment is implemented and demonstrated by using the CoppeliaSim simulation, running on Robot Operation System (ROS) and Linux OS. The simulation result shows the effectiveness of the proposed autonomous navigation system for the snake robot to plan an obstacle-free path from the robot's current position to the goal position without an apriori knowledge of the environment.
27 Jun 2023
15 Mar 2023
TL;DR: In this paper , a multi-agent robotic fire extinguishing model consisted of autonomous robots divided into two groups: Patrol Robots and Fire Extinguishing (FE) robots, called PR-FER model.
Abstract: Protecting equipment and objects from fire in warehouses and industry premises is essential due to a high number of people present, valuable equipment or inventory and possibly dangerous goods. It is mostly often conducted by using smoke and fire sensors along with extinguishing systems. Still, in facilities with valuable inventory and equipment, it is also necessary to protect equipment from damage caused by water. This paper proposes a multi-agent robotic fire extinguishing model consisted of autonomous robots divided into two groups: Patrol Robots and Fire Extinguishing (FE) robots, called PR-FER model. The main methodology of the PR-FER model is using small patrol autonomous robots as a surveillance robots that will first map the surveillance area, determine the patrol paths, and conduct surveillance according to the predefined schedule. They are equipped with the devices for detecting fire and high temperatures such as RGB, IR and Thermal Imaging cameras and various sensors. Furthermore, they will have high capacity batteries which will enable them a long autonomy. In case of a detection of too high temperatures and fire, patrol robots would map the dangerous location and call FE robots to extinguish it. The FE robots are more robust and heavier robots equipped with fire extinguishers. During the fire extinguishing procedure the patrol robots would notify the fire department and enable them a video streaming in order to get an early awareness of the situation on the field.
TL;DR: In this paper , the LoomoRescue can autonomously browse offices to locate people and how to detect their vital signs through posture and heart rate detection in real-time.
Abstract: Rescue robots can play an important role in disaster situations, such as locating people for evacuations. This paper demonstrates how to transform an affordable consumer robot, such as the Loomo Segway, into an intelligent rescue robot. Our proof-of-concept shows how LoomoRescue can autonomously browse offices to locate people and how to detect their vital signs through posture and heart rate detection in real-time. Our indoor localization is a SLAM approach based on an external UWB position system plus a movement correction with an ultrasound sensor in combination with an IMU. The accuracy of linear movement showed minor deviation with an average error of 1.65%, while the angular movement showed an error of 2.43%. We classify three types of critical postures with an average detection rate of 78.33% within a distance of 1–20 m. Our optical heart rate detection is 87.3% accurate to the ground truth. We envision that such an affordable robot can be used for evacuation purposes as it may be part of the standard inventory in the future.
23 Feb 2023
TL;DR: In this paper , the authors proposed a smart IOT and deep learning based robotic system to assist people, especially the elderly, in case they are alone at home, where the robot detects distress in form of audible screams and also monitors its surroundings frequently.
Abstract: With urbanization and societal changes, there has been an increase in the number of people living alone. This raises concern for elderly people as many mishaps or accidents can happen in a household environment when they are alone. This study proposes a smart IOT and Deep learning based robotic system to assist people, especially the elderly, in case they are alone at home. The objective is to detect anomalies and provide first aid to the victim or call emergency contacts if necessary in minimal time. The system has three stages: Distress detection, Navigation and Searching, and Assistance with feedback. The robot detects distress in form of audible screams and also monitors its surroundings frequently. Once it detects a tragic situation, it tries to detect the person in its camera frame. The robot then searches the person and attempts to get feedback from the person and tries to provide an appropriate remedy to the victim. If the victim is unconscious, it contacts emergency services. The prototype of the robot was designed and tested with three different test cases to draw conclusions and evaluate the system. To test the efficiency of the robot, three evaluation parameters are defined, they are, Robot Activation Time, Search Time, and Response Time. Since it is an emergency robot, the main objective is to minimize these parameters. Experimental results show that the robot is able to locate the victim in various scenarios in a reasonable amount of time when placed in a central location in a home environment.
TL;DR: In this article , a simple and low-cost sensing and control architecture for a search and rescue assistant robot using a thermal infrared sensor array, an ultrasonic sensor, and a three-axis accelerometer is proposed.
Abstract: At a disaster site, unforeseen circumstances can severely limit the activities of rescue workers. The best solution is for a cooperative team of robots and rescue workers to complete the rescue work. Therefore, in this paper, we propose a simple and low-cost sensing and control architecture for a search and rescue assistant robot using a thermal infrared sensor array, an ultrasonic sensor, and a three-axis accelerometer. In the proposed architecture, we estimate the location of human survivors using a low-cost thermal IR sensor array and generate and control the trajectory of approaching the searched human survivors. Obstacle avoidance and control are also possible through 3D position estimation of obstacles using 1D ultrasonic sensor integration. In addition, a three-axis accelerometer is used to estimate the tilt angle of the robot according to terrain conditions, and horizontal control of the storage box angle is performed using this feature. A prototype robot was implemented to experimentally validate its performance and can be easily constructed from inexpensive, commonly available parts. The implementation of this system is simple and cost-effective, making it a viable solution for search and rescue operations. The experimental results have demonstrated the effectiveness of the proposed method, showing that it is capable of achieving a level storage box and identifying the location of survivors while moving on a sloped terrain.
TL;DR: In this paper , a robotic gripper was designed to hold a child trapped inside a bore well and lift it up without causing any injuries to the child, the gripper consisted of 4 DOF and had a payload capacity of 1gm/cm.
Abstract: Abstract: A borewell rescue robot which can rescue a child trapped inside bore well is presented in this work. Borewell accidents involving children falling into uncovered bore holes are unfortunately all too common and can have tragic consequences. In this work we designed a gripper which shall perform operations like holding child smoothly and lifting it up without causing any injuries to child. It comprises of 4 DOF which makes it more unique than other grippers. The gripper is designed by keeping various factors in mind like as holding capacity, flexibility. The bevel gear supporting gripper consists of 32 teeths, for more reliability and flexibility. The Micro Servos used has payload capacity of 1gm/cm. The robots could be equipped with cameras and sensors to detect the child's location and condition, as well as provide them with food, water, and other necessities to keep them alive until rescue teams arrive. The use of robots in borewell rescue operations could not only help to save lives but could also reduce the risk to human rescuers who often must undertake these operations in precarious conditions.
TL;DR: In this paper , the authors considered the total application time of equipment for rescue from height during fire in case of successful evacuation and carried out an analysis of each time period of rescue consisting of movement to the rescue equipment, bringing it into a working condition, descending and leaving the evacuation site.
Abstract: В статье рассмотрено суммарное время применения средств спасения с высоты при пожаре в случае успешного проведения эвакуации. Осуществлен анализ по каждому временному отрезку спасения, складывающемуся из передвижения к средству спасения, приведения его в работоспособное состояние, спуска и покидания места эвакуации. Описаны мероприятия по уменьшению общего времени спасения.
The article considers the total application time of equipment for rescue from height during fire in case of successful evacuation. There is carried out an analysis of each time period of rescue consisting of movement to the rescue equipment, bringing it into a working condition, descending and leaving the evacuation site. The measures to reduce the total rescue time are indicated.
08 Jun 2023
TL;DR: A semi-autonomous multi-agent hybrid system intended to assist reconnaissance in underground mines is presented in this paper , which aims to expedite search and rescue operations in the event of mining disasters.
Abstract: The purpose of this study is to present aspects of the development of a semi-autonomous multi-agent hybrid system intended to assist reconnaissance in underground mines. The hybrid system aims to expedite search and rescue operations in the event of mining disasters. The robots will be tasked with collecting environmental data, such as temperature and air quality, and relay to the mine rescue team. Additionally, the vehicle will be programmed to locate and evacuate trapped miners with intelligent navigation procedures. The hybrid vehicle consists of an unmanned ground vehicle (UGV) that houses a drone in a dust-proof box with an automatic opening hatch. The flying drone will navigate and map terrain inaccessible to the UCV, and return to the UGV with the data gathered. At the same time, the UGV will smartly deploy wireless communication nodes to form a temporary wireless mesh network between the mine rescue team and the hybrid system. Backscatter communication technology will enable battery-free communication between the flying drone and the trapped miners. The UGV will be equipped to navigate and map a featureless and GPS-denied environment. It will utilize LIDAR and depth cameras to obtain situational awareness and safely navigate around the underground mine.
04 May 2023
TL;DR: In this article , the authors have discussed issues faced while using these robots and how advancements in newer robots such as the Centauro Robot, RoboSimian, Octopus Robot and ATLAS Robot have helped overcome these problems, making use of robots and robotic technologies more effective and efficient and in turn integrating robots with disaster response tasks even better.
Abstract: Because of human activity, the number of disasters in the world is rising daily. and other environmental factors. A total of 327 disaster events were recorded in 2016 out of these 136 were man-made and 191 were natural disasters, the former accounted for $8 billion in losses and the latter$46 billion. As of July 2020, the number of natural disasters has gone up to 207 and 118 man-made disasters. These numbers are proof that there is a need to find better ways to combat disaster incidents, the limitations to the extent of rescue tasks that can be performed by humans calls for the use of robotic technologies in this field. While several robots such as The BigDog, Thermite 3.0 and Parosha Cheetah GOSAFER are being used presently, there is still some uncertainty about completely relying on them. Furthermore, the paper talks about issues faced while using these robots and how advancements in newer robots such as the Centauro Robot, RoboSimian, Octopus Robot and ATLAS Robot have helped overcome these problems, making use of robots and robotic technologies more effective and efficient and in turn integrating robots with disaster response tasks even better. Based on the mechanism and methods used for their functioning and operation, the mentioned robots have been discussed.
TL;DR: In this paper , the authors proposed a novel design strategy and task-priority-based control methodology for a robot to successfully complete a rescue operation in an extremely unstructured environment.
Abstract: This paper proposes a novel design strategy and task‐priority‐based control methodology for a robot to successfully complete a rescue operation in an extremely unstructured environment. The mechanical structure is designed to obtain both versatile manipulability and all‐terrain mobility. The regularized hierarchical quadratic program is used for whole‐body motion and force control. The optimization strategy is reasoning about regularization and thus it ensures convergence of the solution in the face of singularities while taking into account equality and inequality constraints. We demonstrate the effectiveness of the online optimization‐based control algorithms through extensive real‐world numerical and experimental results. Finally, we highlight that the rescue robot can successfully execute missions to extract a casualty and dispose of a dangerous object both indoor and outdoor environments.
TL;DR: In this paper , the authors discuss the key features and capabilities of military support and rescue robots, as well as their potential applications, and discuss how these robots can assist in search and rescue efforts, locate and extract survivors from collapsed buildings, and provide aid and medical assistance to those in need.
Abstract: Abstract: Military support and rescue robots are becoming increasingly important in modern warfare and disaster response efforts. These robots can perform tasks that are too dangerous or difficult for human soldiers or first responders. They can also gather and transmit crucial information in real-time to help commanders make informed decisions. This abstract will discuss the key features and capabilities of military support and rescue robots, as well as their potential applications. One of the primary functions of military support and rescue robots is to assist soldiers and first responders in dangerous situations. These robots can be used to search for and extract wounded soldiers, identify and disarm explosive devices, and provide cover fire for advancing troops. They can also be equipped with sensors and cameras to gather intelligence and provide real-time situational awareness to commanders. In disaster response scenarios, these robots can assist in search and rescue efforts, locate and extract survivors from collapsed buildings, and provide aid and medical assistance to those in need. They can also be used to survey damaged infrastructure and assess the extent of the damage. Military support and rescue robots are typically equipped with advanced sensors and communication systems to enable them to operate in a variety of environments. They can be designed to operate on land, sea, or air, and can be adapted to handle different terrains and weather conditions. Some robots are also capable of autonomous operation, allowing them to navigate and complete tasks without human intervention. Overall, military support and rescue robots have the potential to greatly enhance the effectiveness of soldiers and first responders in dangerous and challenging environments.
09 Jan 2023
TL;DR: In this paper , the ground robot moves in the open field in the affected area to find out the affected human being, the low-cost camera sends live video continuously and the PIR sensor is used to finds motion in human beings.
Abstract: Every year number of deaths due to wars and some natural and manmade disasters are increasing. Due to this many people will get stuck and it is very time-consuming for the emergency rescue operators should come there and start the rescue operation till this process a person may lose their precious lives. In order to solve this problem firstly the ground robot moves in the open field in the affected area to find out the affected human being. Ultrasonic sensor is used to guide the robot if in case there are obstacles in the path. The low-cost camera sends live video continuously. The PIR sensor is used to finds motion in human beings. If there is any motion detected then the affected person then the robot asks victim to place their finger on the sensors so that the health parameters can be monitored. GPS sends the location of the corresponding victim. This information is sent through Wi-Fi transceiver to the Thing-speak app in the smartphone through IoT.
TL;DR: In this article , the authors presented an ROV (Remotely Operated Vehicle) type robot with four engines for mobilization, as well as four independent joints that allow it to maneuver on uneven terrain or obstacles.
Abstract: The incursion in the field of robotics represents the change of the productive matrix of Ecuador, this prototype is directed towards the field of search and rescue known as SAR (Search and Rescue), presents a versatile structure based on land mobile robots, its structure has four engines for mobilization, as well as 4 independent joints that allow it to maneuver on uneven terrain or obstacles, which also allow it to continue operating even after a rollover. The handling of this prototype is based on the use of wireless technologies such as 2.4 GHz radiofrequency modules and Wifi, so it is considered an ROV (Remotely Operated Vehicle) type robot; by means of the video camera and image processing techniques, the reality of the environment where the robot is moving is interpreted and from this information and control algorithms the mobile robot determines the best route to start its navigation process; which is essential for the search and rescue team.
TL;DR: In this paper , a human-body reconstruction method for autonomous rescue operations with a wounded rescue robot is proposed, which constructs a human body model that can support a robot's autonomous rescue operation given limited scans of the injured.
Abstract: When disasters such as earthquakes and collapses occur, rescuers must go deep into dangerous regions and rush to transport the wounded. Long-term rescue operations in dangerous environments challenge the rescuers’ physical strength and threaten their lives. We propose a human-body reconstruction method for autonomous rescue operations with a wounded rescue robot. This method constructs a human body model that can support a robot’s autonomous rescue operations given limited scans of the injured. Most casualties lie on the ground in supine positions, so this scanning limit is typical. We propose a scanning viewpoint planning method using deep reinforcement learning and change the viewpoint with the help of a 6-degree-of-freedom (DOF) robotic arm to obtain a complete scan of the visible surface. For successful autonomous casualty rescue, a robot must have access to a watertight human body mesh with precise surfaces and associated semantics. To this end, we develop a neural network that predicts a completely clothed body mesh from visible point clouds. The results of experiments show that our method can reconstruct a watertight body mesh with accurate surfaces and human semantics to satisfy the needs of autonomous robotic casualty rescue operations under scanning limitations.
01 Jan 2023
TL;DR: In this article , a remote-controlled snake robot with orthogonal connections was designed for post-disaster rescue, which can be used to enter through narrow passages, detect trapped people and improve rescue efficiency.
Abstract: Compared to other types of robots, snake robots have many advantages and are able to work in special environments such as narrow spaces. In this paper, we design a remote-controlled snake robot with orthogonal connections by investigating the structural design and motion planning algorithms according to performance requirements. Experiments have shown that the snake robot designed in this paper can move quickly on flat surfaces and can also enter narrow environments for detection. In post-disaster rescue, the snake robot can be used to enter through narrow passages, detect trapped people and improve rescue efficiency.
06 Mar 2023
TL;DR: In this article , the authors present three recent selected missions of the Robotics Task Force of the German Rescue Robotics Center, where both ground and aerial robots were used to explore destroyed buildings.
Abstract: Earthquakes, fire, and floods often cause structural collapses of buildings. The inspection of damaged buildings poses a high risk for emergency forces or is even impossible, though. We present three recent selected missions of the Robotics Task Force of the German Rescue Robotics Center, where both ground and aerial robots were used to explore destroyed buildings. We describe and reflect the missions as well as the lessons learned that have resulted from them. In order to make robots from research laboratories fit for real operations, realistic test environments were set up for outdoor and indoor use and tested in regular exercises by researchers and emergency forces. Based on this experience, the robots and their control software were significantly improved. Furthermore, top teams of researchers and first responders were formed, each with realistic assessments of the operational and practical suitability of robotic systems.
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TL;DR: In this article , the authors presented the advancement of putting out fires using Robots that can quench the fire without the demand for firemen, and applied two modes of robotic operations-Automatic mode and Homemade mode.
Abstract: Fire assumes a significant job in mortal life still alongside that it's dangerous too. Fire circumstance is a catastrophe that can beget the loss of mortal life, property detriment, and lasting incapacity to the told casualty. Firemen are principally entrusted to deal with the fire circumstance, yet regularly they presented to the advanced troubles when quenching fire particularly in dangerous conditions, for illustration, in atomic force plant, oil painting oil treatment installations, and gas tanks. With the development in the field of robotics, mortal intrusion has come less and robots are being considerably used for safety purpose. In our day- to- day lives, fire accidents have come common and sometimes may lead to hazards that make it hard for the firemen to cover mortal life. In analogous cases, a firefighting robot is used to guard mortal lives, wealth and surroundings from the fire accidents. also, we apply two modes of robotic operations-Automatic mode & Homemade mode. In Automatic mode, the robot takes controls by itself grounded on the stoner predefined command. In Homemade mode, the robot can be controlled by the stoner. therefore, this paper presents the advancement of putting out fires using Robots that can quench the fire without the demand for firemen.
TL;DR: In this paper , a mobile robot detects the drowning person by determining the splashing patterns of the person, which can be seen in the output image taken from an onboard camera, and the system makes use of a PIC18F242 microcontroller to control the vehicle's functions and movements.
Abstract: AWRO Mobile Robot: Aid for Water Rescue Operations, is a mobile robot that takes the appearance of a watercraft, which helps a lifeguard rescue a drowning person in deep swimming pools. AWRO is short for “Aid for Water Rescue Operations”. The mobile robot detects the drowning person by determining the splashing patterns of the person, which can be seen in the output image taken from an onboard camera. The system makes use of a PIC18F242 microcontroller to control the vehicle’s functions and movements. Also, communication between the PC and mobile robot is done through the use of serial communication. The control program of the mobile robot is implemented using several modules: the PIC microcontroller code, the main PC software running on top of the .NET framework, and the RoboRealm image processing software. With this, more lives can be saved, since it will be able to reach people who are drowning in areas where humans cannot normally reach. Test results show that the proposed robot can efficiently act as a rescue robot and can be further enhanced using some more advanced additive features.
TL;DR: In this article , a forest fire detection and fighting mechanism using wireless sensor and actor networks (WSANs) is proposed, where temperature sensors are utilized to detect fires, and actors (robots) are employed to extinguish them.
Abstract: Forests have an important role in environmental preservation and maintenance. The primary threat is forest fires, which have disastrous repercussions. As a result, it is critical to identify and extinguish a fire before it spreads and destroys resources. To that end, we propose a forest fire detection and fighting mechanism using wireless sensor and actor networks (WSANs). Temperature sensors are utilized to detect fires, and actors (robots) are employed to extinguish them. Sensors and robots are distributed at random throughout the forest, forming clusters. Clustering, sleep/active scheduling for the sensors, and energy harvesting (EH)/moving modes for the robots, are used to extend and maximize the sensors/robots lifetime in the WSAN. In such a network, robots should move to the fire site as quickly as possible. To do this, we further propose a robot routing mechanism that focuses on determining the shortest path for each firefighting robot. In particular, each firefighting robot equipped with on-board processing uses a fuzzy $Q$ -learning (FQL)-based trajectory mechanism to learn the shortest path to the fire zone in the least amount of time. Simulations are conducted to demonstrate the benefits of employing the proposed framework for rapid and effective fire response. When compared to the traditional $Q$ -learning, the total approaching rate (a measure of how quickly the firefighting robots can reach the fire) to the fire spot is greater when utilizing the proposed FQL-based strategy.