A rescue robot is a robot that has been designed for the purpose of rescuing people. Common situations that employ rescue robots are mining accidents, urban disasters, hostage situations, and explosions. The benefits of rescue robots to these operations include reduced personnel requirements, reduced fatigue, and access to otherwise unreachable areas.
Rescue robots in development are being made with abilities such as searching, reconnaissance and mapping, removing or shoring up rubble, delivery of supplies, medical treatment, and evacuation of casualties. Even with all these ideas coming about there are still some technical challenges that remain. Robin Murphy, a professor of computer science and engineering, says that “Real disasters are infrequent, and every one is different. The robots never get used exactly the way you think they will, and they keep uncovering new bottlenecks and problems. So it’s an emerging technology.”
There are three main levels of challenges. First, the information processing of the robot. Second, the mobility of the robot. Third, the manipulation of the robot. Bringing these robots into real-world use and being able to utilize them in all situations is so close to becoming a reality. “We're just inches away” Murphy says, “a lot of software is just waiting for the hardware to catch up”.
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.
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.” 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.
Fukushima Nuclear Disaster
Search and Rescue Projects
Using a proven-in-practice user-centric design methodology, TRADR 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 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.
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.
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.
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.
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.
DARPA Robotics Challenge (DRC)]
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.