MineTag: Exploring Low-Cost Battery-Free Localization Optical Tag for Mine Rescue Robot
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Search and rescue
Rescue robot
Robotics networks are an emerging technology that has a wide range of applications. Robots are used for many military and civilian applications. Applications such as search-and-rescue operations or area monitoring during an environmental disaster, cannot be effectively carried out by a single robot, but rather are carried out by several robots forming what is called a “robotic network”. In rescue operations, for example, robots can be used to help to discover bodies under the rubble or even to assist the injured. One of the main challenges in these applications is how to deploy the robots without central coordination. Virtual force (VF) technique appears to be one of the prominent approaches to perform multi-robot deployment autonomously. However, the effectiveness of this approach depends on how its parameters are calibrated in order to achieve the required deployment. There are two important factors: attractive force ( w a ) and repulsive force ( w r ). In this work, we investigate the best settings of these two factors in order to accommodate different kinds of scenarios. Additionally, and for the first time, an energy-aware virtual force approach is proposed to balance energy consumption among deployed robots and consequently maximize the network lifetime. Extensive simulation experiments are conducted to study and explore the effectiveness of the proposed settings. Finally, a proof of concept experiment using LegoTM Mindstorm robots is carried out to demonstrate the effectiveness of these settings.
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Rescue robot
Search and rescue
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For disaster mitigation as well as for urban search and rescue (USAR) missions, it is often necessary to place sensors or cameras into dangerous or inaccessible areas to get a better situation awareness for the rescue personnel, before they enter a possibly dangerous area. Robots are predestined to this task, but the requirements for such mobile systems are demanding. They should be quick and agile and, at the same time, be able to deal with rough terrain and even to climb stairs. The latter is always required if the rescue personnel has to get access to higher floors inside a building. A rugged, waterproof and dust-proof corpus, and, if possible, the ability to swim, are only a few of many requirements for such robots. With those requirements in mind, the hybrid legged-wheeled robot ASGUARD was developed. This robot is able to cope with stairs, very rough terrain, and is able to move fast on flat ground. We will describe a versatile adaptive controller, based only on proprioceptive data. An additional inclination feedback is used to make the controller versatile for flat ground as well as for steep slopes and stairs. An attachable float provided, the robot is able to swim, using the same locomotion approach. By using twenty compliant legs, which are mounted around four individually rotating hip-shafts, we use an abstract model of quadruped locomotion. For the control design, four independent pattern generators are used. In contrast to many other hybrid legged-wheeled robots, we use the direct proprioceptive feedback in order to modify the internal control loop, thus adapting the model of the motion pattern. For difficult terrains, like slopes and stairs, we use a phase-adaptive approach which is using directly the proprioceptive data from the legs.
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Stairs
Stair climbing
Rescue robot
Legged robot
Robot locomotion
Climbing
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2021 International Conference on Information Science and Communications Technologies (ICISCT) (2021)
Search and Rescue Robotics is a field of research with practical but promising potential. The use of robotic systems in post-disaster search and rescue operations provides a rapid response to finding victims in a disaster area. Disasters occur suddenly and cause damage to people and property belonging to them. Search and Rescue Robots can be used in a disaster zone for various purposes such as searching for victims, removing rubbles, delivery of supplies, treatment, and evacuation of victims. In recent years, the role of Search and Rescue Robot has been increasing in a post-disaster operations. The contribution of various types of robots in search and rescue operations, such as humanoid robots, aerial robots, marine robots and rescue robots, wheeled and crawler robots, is increasing. In this paper, we develop a multifunctional search and rescue robot system for use in search and rescue operations. With the help of this robot, it is possible to remotely monitor the disaster zone in real-time.
Search and rescue
Rescue robot
Web crawler
Disaster area
Drone
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Research on Search and Rescue Robots (SAR) is challenging yet promising research area which has significant application potential. The use of robotic assets in search and rescue operations will provide a very accurate and fast response in finding the victims in a disaster zone. Disasters occur without any warning that affects human life and property. Rescue robots can be employed in such area as the rescue robots have different capabilities like searching, removing rubbles, delivery of supplies, medical treatment, and evacuation of victims. The role of SAR robot cannot be under estimated in a disaster zone. The contributions of the different types of the robots such as rovers, humanoid robots, biped robots, and soft rescue robots, wheeled and tracked robot are ever increasing in rescue operations. Different technologies in robotics can be used in different disaster conditions. This paper presents a review of different types of rescue robots, their technologies, the platforms used in their design and construction, their mode of operations and their application areas. Deployment of appropriate types of rescue robots in disaster hit areas can reduce the loss and damages to human life and properties significantly.
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Search and rescue
Disaster area
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In the current research we consider the scenario of post disaster rescue operations using multiple robots inside damaged buildings where the damage is not very extreme. The objective the of the work is to develop systems to support efficient rescue missions involving creation and exchange of environment maps enriched with information important to rescue operations, among multiple robots and rescue workers. In current days many research institutes are developing robots with widely different types and capabilities to support rescue operations. In rescue missions involving multiple robots it is essential to have sharable map information for efficient search and navigation irrespective of the differences in the structures and capabilities of the participating robots. In this paper we address the above issue by proposing a map description which combines the geographical data as well as the information about robot behaviors called ¿behavioral trace map¿. We describe the algorithm for generation of such maps and we present experimental results using rescue robots developed in our laboratory.
Rescue robot
Search and rescue
TRACE (psycholinguistics)
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In nature, there are many disasters that may threaten the safety of human life, such as house collapse caused by earthquakes, fires, etc. The danger and complexity of the rescue environment often bring great difficulties to the search and rescue work. In the harsh rescue environment, there are often many secondary disasters, such as aftershocks after the earthquake and the second collapse of the house. The emergence of rescue robots has greatly reduced the risk of people being hurt during the rescue process, and improved the efficiency of rescue work. Based on the development status of rescue robots, this paper briefly introduces the Robocup Rescue competition and the hardware and software components of rescue robots. At the same time, it briefly analyzes the SLAM technology and its algorithms of rescue robots, and finally states the future development of rescue robots.
Rescue robot
Search and rescue
Emergency rescue
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Robots are becoming increasingly important responders, joining search and rescue teams in their missions. Besides being able to traverse contaminated and dangerous areas, these robots bring a different set of skills to disaster recover site. A new generation of robots is being developed that could quite literally be the difference between life and death in search and rescue operations. This article discusses land, aerial, and aquatic robots in different stages of their training to assist humans in various calamities.
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Traverse
Search and rescue
Disaster area
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In Urban Search and Rescue (USAR) operations the search for survivors must occur before rescue operations can proceed. Two methods that can be used to search in rubble are trained search dogs and specialized response robots (sometimes called rescue robots). Rescue robots are used to collect information about trapped people within a disaster like a collapsed building. Information from them can help first responders plan and execute a rescue effort. The main challenge for these robots is the restrictions placed on their mobility by challenging rubble surfaces. While current research in this area attacks this challenge through mechanical design, good solutions remain elusive. This paper presents a new method for dispersing response robots called Canine Assisted Robot Deployment (CARD). CARD's approach utilizes USAR dogs to deliver robots close to a trapped human detected by the dog. This method exploits the canine ability to find survivors using their olfactory sensors and agility. Once a dog carrying a small robot has found a casualty, the robot can be dropped and begin exploring. Initial experiments and results are described in this paper.
Rescue robot
Search and rescue
Rubble
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Rescue robot simulation is an effective method for evaluating the performance of rescue robot in various rubble fields. However, simulating a rescue robot in a large rubble field such as a collapsed house needs a lot of time, since it needs to process a large number of rigid bodies and joints. This study accelerates the rescue robot simulation by using multi-core CPU and GPU on a physics engine. To consider the effect of GPU about rescue robot simulation, this study measures the processing time of two situations, including only rescue robot or a rescue robot and rubbles, on two computers equipped with different GPU. Result of the experiments show that the use of GPU, especially high-speed GPU, is effective for a situation which includes a rescue robot and rubbles. Based on the results, this study simulates a rescue robot in a collapsed house in real-time using GPU.
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Rubble
Search and rescue
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The use of robots in search and rescue operations has increased dramatically over the years. A robot is able to detect survivors of a dangerous situation, like an earthquake, without putting the operator’s life in danger as well. There are many types of robots being developed for search and rescue purposes, but a smaller and more durable robot will be beneficial for designs in the future. The purpose of our project is to research and design a soft body robot that is capable of locating individuals in search and rescue operations. The robot has a design similar to a car which will allow the control of the robot to be easy to use. It has been designed with a self-righting mechanism in case the vehicle flips over or gets stuck. The robot has a small size so that it can fit through small holes that a person could not enter. The robot will be capable of traversing over uneven terrain, including small ledges through an actuator. The actuator will be designed to cause the robot to spring over or on a ledge. According to simulations from SolidWorks, the wheels of the robot can also withstand a drop from 2 meters. The design and material of the wheels will be further tested and changed to increase the performance of the wheel. Once a design has been chosen, the body of the robot will be designed. Current designs of ground rescue robots will be studied in order to attain a better understanding on what designs work best. The hope is to make the robot more durable than previous designs using a soft material as the outer shell of the robot. A soft material should allow the robot to be able to absorb impacts from falling debris or unexpected falls. Once the design of the robot has been optimized, a prototype will be created. The next step will be to code the robot so that it can be controlled with a remote. The current proposal is to use an Arduino board to send and receive signals from that remote. Then a camera will be attached to the robot which will allow the operator to see where the robot is and where the survivors are located.
Rescue robot
Search and rescue
Traverse
Snake-arm robot
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