machine Robot Completes World's First Eye Surgery
Recently, British surgeons and robots worked together to perform an operation. Unlike robot surgery that we heard in the past, this robot was operated in the eye of a person with a diameter of less than 24 mm. The robot succeeded from the eyes. A layer of only 0.01 mm thick was removed from the retina.
Image source: BBC
The patient was a local priest in Oxford, England named William Beaver. He was 70 years old. Before the operation, he had a film on the retina of his right eye and caused retinal damage. A small hole appeared. . After inspection, Beaver needed to pay close attention to removing the film, otherwise it would have further impact on the eyes. However, the related surgery to remove this membrane is extremely difficult because the thickness of this membrane is only 0.01 mm. In the position of the retina, how to remove it does not cause damage to the retina.
After research, Professor MacLaren decided to use a robot to complete the operation. He believes that the robot can complete beyond the accuracy that human hands can achieve. With a robot, the whole process will be much simpler. The surgeon will only need to hold the joystick and use the touch screen to control the robot while monitoring the retina and the operation dynamics from the microscope. This is also the first time in human history to use robots for eye surgery, and robots have once again achieved a breakthrough in the field of "precision surgery."
South African companies develop water “jeopardy†machines
Richard Hardiman, an entrepreneur from South Africa, is working on a water drone named "WasteShark", which can autonomously cruise around the port and "eat" 400 all the way. Multi-pound (about 180kg) of marine debris.
In addition to collecting garbage, WasteShark also has the ability to collect data such as water quality, depth and weather conditions, which can be sent to the port authorities in real time.
At present, the robot has Fatboy and Slim models. Hadiman's team has already signed a contract with the Port of Rotterdam and they plan to expand this technology worldwide. Moreover, they are also developing a larger solar-powered "Great Waste Shark" that will once be able to "swallow" more than 1,000 pounds (about 450 kg) of garbage.
Will a large number of cleaners become unemployed by then?
future
Iron Man's Iron Coat Becomes Reality
Tony Stark was able to become a superhero. His cool, high-tech suits were indispensable. In fact, there were companies like Iron Man Armor.
Sarcos Robotics, the producer of "Guardian XOS 2", recently received a total investment of 10.5 million U.S. dollars from several giants, including Microsoft, General Electric, and Caterpillar.
XOS 2
XOS 2 is an "exoskeleton robot", which is similar to Iron Man's steel coat principle. This coat is a few hundred pounds, but it doesn't feel much heavy on the body. The try-on is doing push-ups very easily.
The XOS2 is powered by a high-hydraulic system that allows the wearer to lift 200 pounds (about 90 kg) of heavy objects easily, and this action can be repeated hundreds of times without wearer fatigue. The wearer can also penetrate 3 feet thick (0.9 meters) of wood.
In addition to being able to load, this seemingly cumbersome outfit is very agile, and the wearer can play football with ease and easily go up and down the stairs.
The main application of XOS 2 is the logistics of logistics on the battlefield. If the human body carries a lot of heavy objects, it can be easily injured. With XOS 2, you can save more effort and reduce strain, while improving work efficiency: The workload of soldiers wearing XOS 2 can be worth 2-3 ordinary soldiers.
Drones can also eat?
A British engineer named Nigel Gifford is making disposable, edible drones called "Pouncer." It is understood that such drones are designed specifically for delivery of food in humanitarian aid.
Pouncer concept map
Pouncer's wings will be made of food (it is not yet decided what kind of food), and the fuselage and wing compartments will also be filled with different foods. The rest of the structure will be made of wood and can be disassembled for food heating and cooking. At this point, the plane has been consumed, and there is almost no leftovers.
Gifford, an engineer who developed the drone, was billed as the creator of the Facebook drone Aquila. He said that it is more efficient to replace the parachute with navigational Pouncer drones to airborne real objects. Pouncer itself is food and falls directly to the disaster. District, this can not only solve the placement accuracy problem, but also increase the amount of food delivered each time. Â
industry
Recently, the Beijing Normal University’s Institute of Smart Learning officially released the 2016 White Paper on the Development of Global Educational Robotics (hereinafter referred to as “White Paperâ€). This is the first white paper in the world published by educational authorities for the field of educational robots.
The "White Paper" points out that education robots involve the "service robot in education industry" and "adolescent robot education". It will become the third largest robot development field after industrial robots and service robots.
The contents of the White Paper cover the research status of educational robots, market analysis, status quo of the industrial chain, and many other aspects of information that will help in understanding the status quo of educational robots.
It is worth mentioning that the White Paper predicts that the market size of global educational robots will reach 11.1 billion U.S. dollars over the next five years. Among them, the growth of the education service robot market will occupy an important role, and its service and content revenue may account for more than 77% of the market as a whole.
With the continuous development of educational robots, discipline restrictions in traditional teaching will gradually be broken, and robots will bring new models to the education industry.
AcademicRecently, drone master Vijay Kumar's laboratory released an amazing new system: they realized that drones automatically sew through the windows with only on-board sensors and computing components. This means that the outside camera is not needed and the external computer is not needed. For the first time, this drone had its own "ideas" and could complete its tasks independently.
In general, when a drone performs a similar action as in the figure, the drone will be full of auxiliary equipment (such as a camera. The camera with a red light emits hundreds of times per second and collects accurate images. The data information is transmitted to the computer system of the outside world, and then the drone is controlled by the computer. The drone only needs to execute the instruction given by the computer and complete the specified action.) Kumar's research results have changed this situation. Under this result, drones rely solely on airborne sensors and computing components to complete positioning, status assessment, and path planning without requiring any outside help.
The main researchers in this system were Giuseppe Loianno, Chris Brunner, and Gary McGrath, both from the University of Pennsylvania Vijay Kumar Laboratory. The system was developed for six years. Researchers are currently working on real-time mapping, which is a key to obstacle detection and dynamic path planning.
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