Powerful! The new robot will not only graffiti but also climb the wall

According to the British “Daily Mail” reported on August 24, SprayPrinter’s new graffiti robot can climb the building, in the computer control to complete a colorful murals at one time.

SprayPrinter was founded in 2016 and has released a device that uses app control to allow the user to complete a painting by simply moving the paint tank on the surface of the object. This device can track the movement trajectory, through the Bluetooth connection, control the timing of spraying paint.

And this new graffiti robot, built on the old design, not only can carry five cans of paint, but also to climb the building and in accordance with the program set to create art painting, no longer need to manually switch paint. At the time of the first demonstration, it painted a murals of a woman in five colors on a chimney. In the painting process, can adjust the duration of each color spray, one by one to complete the entire painting. Another difference is that the new robot is no longer using the camera to feedback and use the computer connection, the computer controls the movement of the robot and the timing of spraying the pigment.

“At the very beginning of the company, our plan was to create an automatic device for drawing frescoes, and the hand-held version was only the first step.” About half a year later, the team will be releasing a more post-adjustment, “said Mihkel Joala, founder of the company. A new version of the graffiti robot for user-friendly operation. But they did not disclose more technical details, such as how high the robot can climb, it takes a mural how long it takes.

Google promotes free Wi-Fi in Indonesia

According to Gadgets, after the success of India’s operations, Google has its public Wi-Fi project Google Station to Indonesia, which will help improve the Indonesian railway station and other locations of the Internet access. At the same time, Google also announced another 10 statements in Google for Indonesia.

“We are working with CBN and Fiberstar to connect high-speed public Wi-Fi to hundreds of locations across Indonesia, and we will be pushing Google Station to the rest of the world,” Google said in a blog post. We continue to expand our Google Station network in India. ”

In India, Google and RailTel, in many train stations launched a free Wi-Fi service for millions of people to provide high-speed Internet services. In January 2016, Google launched its first free Wi-Fi service at Mumbai Central Station. The company will continue to deploy high-speed Wi-Fi in more than 300 stations across India.

Other announcements announced by Google in Google for Indonesia include the release of YouTube Go, an offline application launched in India, the release of support for Indonesian Google Assistant, the use of shortcuts in search (the same recently in India Launched), providing healthy answers in Google search and Waze updates.

Google also announced plans for digital training and licensing in Southeast Asian countries, including a milestone in announcing that 25,000 Indonesian developers, Primer training applications and SMB projects have been implemented to achieve 4,500 registered users.

Korean version of “electronic skin” health sensor

South Korea Daegu Gyeongbond University of Science and Technology and the United States, Northwestern University, an international research team developed a wearable electronic skin. This electronic skin area is only about 4 square centimeters, can be directly attached to the skin, it can be the user’s heart rate, breathing, muscle movement and the health of the body through the wireless signal data transmitted to the smart phone.

It is understood that this electronic skin contains 50 parts, through the 250 catheter connection, these materials will be a piece of silica gel protection. Unlike ordinary biosensors, human skin is able to adapt to these substances. It can also pass through the skin to human activities, such as heartbeat, muscle, eye, brain activity, and the data sent to the smart phone App for analysis.

This electronic skin with three-dimensional design, compared with the previous similar products will appear lighter and more wear-resistant. The most important thing is that this electronic skin to support wireless charging, in the course of the process can save a lot of trouble. In addition with large data and artificial intelligence, electronic skin can be integrated into the medical system, to the patient diagnosis to bring more medical data.

AI robots will open the exploration of unknown territory

Artificial Intelligence (AI) is expected to change the way NASA studies space. NASA Earth Science Satellite equipped with AI to detect the 2010 Icelandic volcanic eruptions to help generate this color picture.
How to make a robot to identify unexpected events? That is the problem that artificial intelligence researchers think about, especially when AI starts to change space research.
“Science: Robotics” (Science: Robotics) magazine published a new article, briefly describes how artificial intelligence in the space mission to explore activities. This article is co-authored by Steve Chien and Kiri Wagstaff of NASA JPL, Pasadena, California. The reference to autonomous control will be the key to exploring the future of the solar system, because in the solar system, the robot spacecraft and ground control personnel often lost. In a sense, space scientists are in the robot spacecraft with the help of field visits.
“Our goal is to make AI more like a smart assistant with scientists, not programming code,” said Chien, a senior research scientist at the autonomous space system. “This allows scientists to focus on ‘thinking’ – analyzing and parsing data – and robotic detectors focus on searching for research-related features. ”
Science is driven by an unknown thing, and it is easier for a trained person to find things beyond what is expected. But for robots, this means having the ability to judge whether the situation is “normal” and the ability to detect statistical anomalies using machine learning techniques.
“We do not want to miss because I do not know how to find it,” said Wagstaff, chief data scientist at the JPL Machine Learning Group. “We want the spacecraft to know what we expect to see and identify it when we see it.”
Detection of abnormal features is one of the functions of AI. But there is a more complex function will be in the study of the marine world (such as Europa) in the side.
“If your background is so rich, you can build a normal model that the robot can expect,” Wagstaff said. “But for the new environment, we want the spacecraft to build a normal model based on their own observations.” Can identify the unexpected situation we can not expect. ”
“Imagine, for example, that AI locates the eruption of the seabed, which is sudden and ever-changing, and that allows a passing spacecraft to re-optimize the order of the task and instantly study the phenomenon,” Chien said.
JPL is mainly responsible for the development of several key cases of space AI. The dust whirlwind on the surface of Mars was taken by the NASA Opportunity Mars “WATCH” program. This program was later developed into AEGIS to help curiosity ChemCam chose a new laser target that meets both the scientific team’s parameters and the need to wait for interaction with scientists on Earth. AEGIS can also fine tune ChemCam’s laser pointing.
The Earth Observing-1 (EO-1) satellite, managed by the NASA Goddard Space Flight Center in Greenbelt, Maryland, is equipped with a satellite called the Autonomous Sciencecraft Experiment, AI software has studied volcanoes, floods and fires. The EO-1 Titan equipment also uses AI to identify glacier deposits on the surface of glaciers, which is important for places such as Europa, since sulfur deposits are likely to imply potential life characteristics.
AI allows spacecraft to process the collected data by level to achieve a balance between demand for power supply and limited data storage. The self-management of this system will be applied to the NASA 2020 rover, and the AEGIS program will also be used to select the laser target.
While the autonomy has brought exciting new advantages to the scientific team, both Chien and Wagstaff have stressed that AI still has a long way to go.
“In the foreseeable future, high-level talent is still the mainstay of scientific development,” Wagstaff said: “But artificial intelligence is an observation tool, and can use a unique way to assist human research science.”