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A rescue robot is a robot designed to aid in the search and rescue of humans. [1] They may assist rescue efforts by searching, mapping, removing rubble, delivering supplies, providing medical treatment or evacuating casualties.[ citation needed ]
Rescue robots were used in the rescue and response efforts to the September 11 attacks, the Fukushima Daiichi nuclear disaster and the 2016 Amatrice earthquake, albeit with questionable success. There are several projects, such as TRADR and SHERPA, dedicated to further developing rescue robot technology.
Rescue robots were used in the search for victims and survivors after the September 11 attacks in New York. [2]
During September 11 disasters rescue robots were first really tested. They were sent into the rubble to look for survivors and bodies. The robots had trouble working in the rubble of the World Trade Center and were constantly getting stuck or broken. Since then many new ideas have been formed about rescue robots. Engineers and scientists are trying to change the shapes of the robots and take them from wheels to no wheels. “Strong government funding and support is needed if search and rescued robots are to see widespread use in fewer than 14 years.[ who? ]” [3] This means that without the help of government the technology for these devices are not available or they cost too much. These robots are very important in disaster scenarios and are hopefully taking a change for the better.[ citation needed ][ opinion ]
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These types of robots help in various rescue operations from the air
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Using a proven-in-practice user-centric design methodology [ clarification needed ], TRADR [5] develops novel science and technology for human-robot teams to assist in urban search and rescue disaster response efforts, which stretch over multiple sorties in missions that may take several days or weeks. The novel technology[ clarification needed ] makes the experience during robot-assisted response to an emergency persistent. Various kinds of robots collaborate with human team members to explore or search the disaster environment, and gather physical samples from the incident site. Throughout this collaborative effort, TRADR enables the team to gradually develop its understanding of the disaster area over multiple, possibly asynchronous sorties (persistent environment models), to improve team members’ understanding of how to work in the area (persistent multi-robot action models), and to improve team-work (persistent human-robot teaming). TRADR focuses on an industrial accident scenario, but the technology is equally applicable for using robots in other disaster, emergency and urban search and rescue (USAR) scenarios, such as earthquake relief, as the TRADR deployment of robots in Amatrice, Italy, on September 1, 2016 shows.
The goal of SHERPA is to develop a mixed ground and aerial robotic platform to support search and rescue activities in a real-world hostile environment like the alpine scenario.[ citation needed ]
The technological platform and the alpine rescuing scenario are the occasion to address a number of research topics about cognition and control pertinent to the call.[ citation needed ]
What makes the project potentially very rich from a scientific viewpoint is the heterogeneity and the capabilities to be owned by the different actors of the SHERPA system: the "human" rescuer is the "busy genius", working in team with the ground vehicle, as the "intelligent donkey", and with the aerial platforms, i.e. the "trained wasps" and "patrolling hawks". Indeed, the research activity focuses on how the "busy genius" and the "SHERPA animals" interact and collaborate with each other, with their own features and capabilities, toward the achievement of a common goal.[ citation needed ]
A mix of advanced control and cognitive capabilities characterize the SHERPA system, aiming to support the rescuer by improving his awareness of the rescue scene even in tough environments and with the "genius" often "busy" in the rescuing activity (and thus unable to supervise the platform). Thus emphasis is placed on robust autonomy of the platform, acquisition of cognitive capabilities, collaboration strategies, natural and implicit interaction between the "genius" and the "SHERPA animals", which motivate the research activity.[ citation needed ]
The introduction of unmanned Search and Rescue devices can offer a valuable tool to save human lives and to speed up the Search And Rescue (SAR) process. ICARUS concentrates on the development of unmanned SAR technologies for detecting, locating and rescuing humans.
There is a vast literature on research efforts towards the development of unmanned Search and Rescue tools. However, this research effort stands in contrast to the practical reality in the field, where unmanned search and rescue tools have great difficulty finding their way to the end-users.
The ICARUS project addresses these issues, aiming to bridge the gap between the Research community and end-users, by developing a toolbox of integrated components for unmanned Search and Rescue.
After the earthquakes in l’Aquila, Haiti and Japan, the European Commission confirmed that there exists a large discrepancy between (robotic) technology which is developed in laboratory and the use of such technology on the terrain for Search and Rescue (SAR) operations and crisis management. Thus, the European Commission's Directorate-General for Enterprise and Industry decided to fund ICARUS, a Research project (global budget: 17.5M€) which aims to develop robotic tools which can assist “human” crisis intervention teams.
The Department of Defense's strategic plan calls for the Joint Force to conduct humanitarian, disaster relief, and related operations. Some disasters, due to grave risks to the health and wellbeing of rescue and aid workers, prove too great in scale or scope for timely and effective human response. The DARPA Robotics Challenge (DRC) seeks to address this problem by promoting innovation in human-supervised robotic technology for disaster-response operations.
The primary technical goal of the DRC is to develop human-supervised ground robots capable of executing complex tasks in dangerous, degraded, human-engineered environments. Competitors in the DRC are developing robots that can utilize standard tools and equipment commonly available in human environments, ranging from hand tools to vehicles.
To achieve its goal, the DRC is advancing the state of the art of supervised autonomy, mounted and dismounted mobility, and platform dexterity, strength, and endurance. Improvements in supervised autonomy, in particular, aim to enable better control of robots by non-expert supervisors and allow effective operation despite degraded communications (low bandwidth, high latency, intermittent connection).
Fifteen scientists from all over the world were put together on a team of search and rescue professionals from the Federal Emergency Management Agency's Indiana. They were put together to find problems with rescue robots. Together they put together the R4 program. Which is Rescue Robots for Research and Response. This is a three-year grant and it is there to improve the rescue robot technology and human performance. Three robots were tested during this time and a fourth was introduced to the scientists. Each robot spent about an hour moving around in the rubble and was observed for their movement and how well they were able to make their way through the rubble. They tested the robots on the rubble from the World Trade Center disaster so they could better prepare for a similar disaster. They were looking for two things with these rescue robots. First, how to detect victims and unsafe conditions for rescuers in a highly cluttered, unfavorable environment. Second, how to ensure sensor coverage of a particular volume of space. In one series of tests, robots were put into dark, mine-like conditions. However, the robots were unable to locate half of their targets. Some changes will need to be made if they ever expect these robots to function properly. But once they figure out what they need they will hopefully serve a great purpose and be a greater asset to rescuers.
The Defense Advanced Research Projects Agency (DARPA) is a research and development agency of the United States Department of Defense responsible for the development of emerging technologies for use by the military. Originally known as the Advanced Research Projects Agency (ARPA), the agency was created on February 7, 1958, by President Dwight D. Eisenhower in response to the Soviet launching of Sputnik 1 in 1957. By collaborating with academia, industry, and government partners, DARPA formulates and executes research and development projects to expand the frontiers of technology and science, often beyond immediate U.S. military requirements. The name of the organization first changed from its founding name, ARPA, to DARPA, in March 1972, changing back to ARPA in February 1993, then reverted to DARPA in March 1996.
An autonomous robot is a robot that acts without recourse to human control. Historic examples include space probes. Modern examples include self-driving vacuums and cars.
The DARPA Grand Challenge is a prize competition for American autonomous vehicles, funded by the Defense Advanced Research Projects Agency, the most prominent research organization of the United States Department of Defense. Congress has authorized DARPA to award cash prizes to further DARPA's mission to sponsor revolutionary, high-payoff research that bridges the gap between fundamental discoveries and military use. The initial DARPA Grand Challenge in 2004 was created to spur the development of technologies needed to create the first fully autonomous ground vehicles capable of completing a substantial off-road course within a limited time. The third event, the DARPA Urban Challenge in 2007, extended the initial Challenge to autonomous operation in a mock urban environment. The 2012 DARPA Robotics Challenge, focused on autonomous emergency-maintenance robots, and new Challenges are still being conceived. The DARPA Subterranean Challenge was tasked with building robotic teams to autonomously map, navigate, and search subterranean environments. Such teams could be useful in exploring hazardous areas and in search and rescue.
Swarm robotics is an approach to the coordination of multiple robots as a system which consist of large numbers of mostly simple physical robots. In a robot swarm, the collective behavior of the robots results from local interactions between the robots and between the robots and the environment in which they act. It is supposed that a desired collective behavior emerges from the interactions between the robots and interactions of robots with the environment. This idea emerged on the field of artificial swarm intelligence, as well as the studies of insects, ants and other fields in nature, where swarm behaviour occurs.
An unmanned ground vehicle (UGV) is a vehicle that operates while in contact with the ground without an onboard human presence. UGVs can be used for many applications where it is inconvenient, dangerous, expensive, or impossible to use an onboard human operator. Typically, the vehicle has sensors to observe the environment, and autonomously controls its behavior or uses a remote human operator to control the vehicle via teleoperation.
Situational awareness or situation awareness (SA) is the understanding of an environment, its elements, and how it changes with respect to time or other factors. Situational awareness is important for effective decision making in many environments. It is formally defined as:
“the perception of the elements in the environment within a volume of time and space, the comprehension of their meaning, and the projection of their status in the near future”.
Human–robot interaction (HRI) is the study of interactions between humans and robots. Human–robot interaction is a multidisciplinary field with contributions from human–computer interaction, artificial intelligence, robotics, natural language processing, design, psychology and philosophy. A subfield known as physical human–robot interaction (pHRI) has tended to focus on device design to enable people to safely interact with robotic systems.
The International Aerial Robotics Competition (IARC) is a university-based robotics competition held on the campus of the Georgia Institute of Technology. Since 1991, collegiate teams with the backing of industry and government have fielded autonomous flying robots in an attempt to perform missions requiring robotic behaviors not previously exhibited by a flying machine. The term “aerial robotics” was coined by competition creator Robert Michelson in 1990 to describe a new class of small highly intelligent flying machines. Successive years of competition saw these aerial robots grow from vehicles that could barely maintain themselves in the air, to automatons which are self-stable, self-navigating, and able to interact with their environment.
Autonomous logistics describes systems that provide unmanned, autonomous transfer of equipment, baggage, people, information or resources from point-to-point with minimal human intervention. Autonomous logistics is a new area being researched and currently there are few papers on the topic, with even fewer systems developed or deployed. With web enabled cloud software there are companies focused on developing and deploying such systems which will begin coming online in 2018.
The Guidance, Control and Decision Systems Laboratory (GCDSL) is situated in the Department of Aerospace Engineering at the Indian Institute of Science in Bangalore, India. The Mobile Robotics Laboratory (MRL) is its experimental division. They are headed by Dr. Debasish Ghose, Full Professor.
The Florida Institute for Human & Machine Cognition (IHMC) is a not-for-profit research institute of the State University System of Florida, with locations in Pensacola and Ocala, Florida. IHMC scientists and engineers investigate a broad range of topics related to building systems aimed at amplifying and extending human cognitive, physical and perceptual capacities.
The Australian Research Centre for Aerospace Automation (ARCAA) was a research centre of the Queensland University of Technology. ARCAA conducted research into all aspects of aviation automation, with a particular research focus on autonomous technologies which support the more efficient and safer utilisation of airspace, and the development of autonomous aircraft and on-board sensor systems for a wide range of commercial applications.
The following outline is provided as an overview of and topical guide to robotics:
Virtual intelligence (VI) is the term given to artificial intelligence that exists within a virtual world. Many virtual worlds have options for persistent avatars that provide information, training, role-playing, and social interactions.
Liquid Robotics is an American marine robotics corporation that designs, manufactures and sells the Wave Glider, a wave and solar powered unmanned surface vehicle (USV). The Wave Glider harvests energy from ocean waves for propulsion. With this energy source, Wave Gliders can spend many months at a time at sea, collecting and transmitting ocean data.
Robotnik Automation S.L.L. is a Spanish company that specializes in robot product development and robotics R&D projects. Robotnik is based in Valencia (Paterna) in Spain.
The National Robotics Engineering Center (NREC) is an operating unit within the Robotics Institute (RI) of Carnegie Mellon University. NREC works closely with government and industry clients to apply robotic technologies to real-world processes and products, including unmanned vehicle and platform design, autonomy, sensing and image processing, machine learning, manipulation, and human–robot interaction.
The DARPA Robotics Challenge (DRC) was a prize competition funded by the US Defense Advanced Research Projects Agency. Held from 2012 to 2015, it aimed to develop semi-autonomous ground robots that could do "complex tasks in dangerous, degraded, human-engineered environments." The DRC followed the DARPA Grand Challenge and DARPA Urban Challenge. It began in October 2012 and was to run for about 33 months with three competitions: a Virtual Robotics Challenge (VRC) that took place in June 2013; and two live hardware challenges, the DRC Trials in December 2013 and the DRC Finals in June 2015.
Atlas is a bipedal humanoid robot primarily developed by the American robotics company Boston Dynamics with funding and oversight from the U.S. Defense Advanced Research Projects Agency (DARPA). The robot was initially designed for a variety of search and rescue tasks, and was unveiled to the public on July 11, 2013. In April of 2024, the hydraulic Atlas was retired from service. A new fully electric version was announced the following day.
Robin Roberson Murphy is an American computer scientist and roboticist. She is the Raytheon Professor of Computer Science and Engineering at Texas A&M University. She is known as a founder of the fields of rescue robotics and human-robot interaction and for inserting robots into disasters. Her case studies of how unmanned systems under perform in the field led cognitive systems engineering researcher David Woods to pose the (Robin) Murphy's Law of Autonomy: a deployment of robotic systems will fall short of the target level of autonomy, creating or exacerbating a shortfall in mechanisms for coordination with human problem holders. Her TED talk “These Robots Come to the Rescue After a Disaster” was listed in TED Talks: The Official TED Guide to Public Speaking as one of the examples of a good TED talk. Murphy is also known for using science fiction as an innovative method of teaching artificial intelligence and robotics.