Saving robots: saving lives with driverless cars.
Last week’s rescue of Australian swimmers by unmanned aerial vehicles (uavs) was just the beginning of the robotic revolution.
On January 18, an Australian lifeguard piloted an unmanned aircraft in a turbulent ocean off the northern coast of new south wales to rescue two teenagers. See a small drones are two struggling swimmers to put down a floating device, this exciting, because in an ideal, spacious environment using mature robot technology, the rescue is relatively easy.
Drones and drones have been used in search and rescue (SAR) situations around the world for more than a decade. They searched for victims in collapsed buildings, collected disaster data, detected hazardous materials and conditions, and deployed first-aid kits.
But we are now using unmanned robotic system work under strict restrictions: they need a remote control device or powerful GPS signals, and open space to allow for the manipulation of automatic driving.
First of all in the scene
These robots do not need to be smaller, more powerful, heat-resistant or anti-collision, including more sensors or better user interfaces. Robot researchers are faced with the real challenge is to develop unmanned rescue robot, the robot can make independent decisions, and be able to in the narrow space of chaos to work unsupervised.
In the future, the scene of the rescue drones will be the first one, erosion under the collapsed building, or in the thick forest searching for the wreckage of the plane, looking for survivors, otherwise it may take several days to reach.
The challenge for robot experts is to create driverless vehicles that can use previously acquired information and limited available resources to adapt to unforeseen circumstances.
We don’t see a search and rescue (SAR) of the robot is widely deployed, until researchers find ways to improve the ability of mobile robot in an airtight space, enhance their sense of self, to give them the tools to identify any specific task intentions in unforeseen circumstances.
City search and rescue.
Professor at the university of Calgary in Schulich school of engineering and 4 front Robotics, chief executive officer, I’m in the development technology and system, in order to realize and promote the use, deployment and further design a cost-effective, highly mobile rapid response robot technology.
One focus of our research is to develop drones that can respond quickly to urban disasters, such as quickly finding victims in collapsed buildings after an earthquake.
Unmanned ground, submarines and aircraft can save lives faster than traditional technologies and tools, respond more quickly to disasters, and deal with emergencies more quickly.
In August 2017, a five-story building collapsed in mumbai, India, killing 24 people. Rescue workers pulled 37 people out of construction waste.
If you can use drones and robots to search the scene, more people may be saved. In a typical collapse of a building, it takes an average of five to eight hours for rescue workers to inspect the site to ensure that the victim is safe. Drones and robots can shorten delays.
Full of potential
After the 2001 world trade center attack, robots were first used in urban areas. These devices are primarily developed for military or other applications, but some remote and remotely operated unmanned robotic systems have enhanced search and recovery efforts.
They look for paths through the rubble, which will allow rescuers to dig faster, search for victims and assess the structure of buildings.
The robots provide the quick response they need to assess the dangerous situation on the ground, including the fire department, the police and other personnel who are in great danger. Even so, robots cannot penetrate deep into the complex space of buildings because of their limited mobility and the complexity of using joysticks to guide them.
In the last 15 years, we have made great progress in the field of robotics. Drones can now be equipped with autonomous driving systems and visual systems to identify people. They can identify dangerous situations, such as the presence of explosive gases, and sensors that carry geometric features and humidity levels. They can identify objects buried in the rubble.
The military is particularly interested in developing highly mobile unmanned aerial vehicles with robotic weapons that can travel in highly confined Spaces and interact directly with the surrounding environment.
For example, traditional unmanned aerial systems such as helicopters and quadrotors can’t be tilted and maneuverable, allowing them to rise and fall from sloping mountain surfaces or from ships on rough seas.
Build a better future.
To be truly useful, these systems must gain some independence. They must be able to modify their actions while collecting new information, but always follow and cooperate with others.
We need better artificial intelligence (AI) tools to achieve this. Only in this way can rescue robots learn to solve problems without data or human experience. Enhanced artificial intelligence will enable robots to move themselves in the overall operating environment with minimal human assistance and adapt themselves in novel and ground-breaking ways.
We need robots that can automatically adjust their motion. They must be able to walk, run, roll, crawl, crawl, jump, fly or swim in response to changing environmental conditions.
In the future, the robot must be able to change its shape, geometry and movement based on the terrain or task it perceives.
Because of its design, drones found in Australia can’t fly for more than 20 minutes to 30 minutes, can’t fly far away, and can still go home. The existing SAR robot device has limited battery capacity, small carrying capacity and insufficient adaptability, which severely limits its application.
We need rescue robots that can hover like helicopters, quickly switch to high-speed flights and penetrate challenging environments. These and the humanoid robots that use tools (power drills, hydraulic lifts, scissors and axes) are currently under development and will change the rules of the game.
They will help responders and victims and reduce costs in ways we have not yet discovered.