Robot has "cloud brain"

: Huang Xiaoqing, former CTO of U.S. UTStarcom and dean of the China Mobile Research Institute, had a "big motion" in this venture. As the CEO of Darwin Technology Co., Ltd., he brought the world's first cloud intelligent robot platform. Huang Xiaoqing said that this platform, including cloud-based smart robot operation-level secure cloud computing networks, large-scale hybrid cloud-based smart machine learning platforms, and security intelligent terminals and robot controller technologies, will inject new energy into the smart industry. At the same time, Tatsuki Technology also announced that it has completed a 100 million US dollar A round of financing, A round of financing by the Softbank Group, Foxconn Group, China Kele Creation Fund and other institutions to invest together.

Daxie Technology was established in early 2015 and has been committed to the research and development of cloud front-end intelligence, high-speed security networks, and security intelligent terminals and robot control technologies. At the press conference, Tatsi Technology displayed the world's first cloud-based intelligent control terminal DATA, which will serve as a connector between the robot entity and the brain of the cloud. On the same day, the company also released the first smart robot application entity, cloud-guided robot meta.

Meta is the first cloud-based smart wearable device from Darwin. This product uses helmets to provide face recognition, object recognition, path planning, and obstacle avoidance services for visually impaired people. “Users wear cloud-guided helmets with intelligent robot architecture. Even with their eyes closed, they can safely avoid obstacles and walk normally. Smart helmets can also help blind people identify banknote denominations, describe nearby objects, and even help them identify encountered problems. "Friends," said Li Qiang, chief scientist of Dasheng Technology.

What is the difference between a cloud robot and a robot in the minds of ordinary people? Experts told reporters that there are 100 billion neurons in the human brain. Each neuron is equivalent to 300 inputs and 300 output chips. If a 45-nanometer chip is used, it can be realized that the human brain needs 2,000 tons of chips. . This means that humans have been unable to put such a huge “machine brain” on the shoulders of robots for a long time. With "cloud brains", robots can become smarter.

Huang Xiaoqing told reporters that it was based on this scientific judgment that Daxie decided to connect a powerful brain and a powerful network to the body of a robot to form a universal artificial intelligence robot. In his view, moving the "brain" to the cloud, in addition to making the robot smarter, can also be combined with artificial assistance, "using AI and HI (human assistance) combined deep learning platform to learn 'wisdom', will be some huge The complex and complex problems are broken down into several effective and problem-solvable problems that ultimately use human intelligence to assist robots in solving problems, while at the same time generating commercial value and commercial characteristics.” In fact, cloud-based robotic platforms and parts of the architecture have been put in place. Commercial.

However, the "cloud robot" can operate smoothly, and safety is the foundation. Huang Xiaoqing frankly stated, “If users worry that this robot will be blacked out, it will be impossible for them to hand over their little baby to the robot.” He explained that the solution of Darwin Technology is to make the robot “invisible” through technology. “We Use the mobile intranet to solve problems and use it to build the 'nerve system' of cloud robots. The core of mobile intranet technology is to isolate the control network of the robot from the Internet, and cannot be attacked without being visible.

Talking about the development of artificial intelligence in China, Huang Xiaoqing believes that in the future, on the one hand, it is necessary to rely on the patent layout to form its core competitiveness. “The company has applied for nearly 250 patents in less than two years since its establishment. In addition, in order to encourage innovation, , also established a 'patent partner program', the inventor of the company's patent application, in the future regardless of whether he is in office, 10% of the revenue generated during the patent's validity will be returned to the inventor."

On the other hand, we must also promote the establishment of industry standards. Huang Xiaoqing stated that in the future, an intelligent open laboratory in the cloud should be established, “opening upstream and downstream of the robots, upstream and downstream of artificial intelligence, and communication upstream and downstream, and everyone should establish a technical alliance and standards organization.”

"I hope that Daqin can become a company like Google." Huang Xiaoqing explained that Google plays the role of an Internet operator, and that Daxie will be a robot network operator. "To achieve this goal, it actually requires a lot of work. We have already taken the first step, that is, to establish a secure cloud connection. In the second step, we have also made achievements. The typical representative is the introduction of cloud-guided blinding robots. In the future, our work is to continuously strengthen our strengths in these two areas and strive to support more than one million robots through the cloud.

UAV Drone Jamming Module Jammer

The operation principle of UAV Drone jamming device is mainly to interfere with UAV communication, navigation, control and other systems by emitting electromagnetic waves or other jamming signals, thus making it unable to operate or control normally.

The specific principles include:
1. Electromagnetic interference: By emitting powerful electromagnetic signals, it interferes with the communication system of the UAV, making it unable to communicate with the ground control center or operators normally, thus making the UAV out of control.
2. GPS jamming: By transmitting jamming signals, it interferes with the UAV's Global Positioning System (GPS) receiver, making it unable to accurately obtain its own position information, thus causing the UAV to be unable to navigate and locate.
3. Wireless signal interference: By transmitting interference signals, it interferes with the wireless communication signals of the UAV, making it impossible to receive or send wireless signals, thus affecting the control and command transmission of the UAV.
4. Radar jamming: By transmitting jamming signals, it interferes with the radar system of UAV, making it impossible to accurately detect the surrounding environment, thus affecting the navigation and obstacle avoidance ability of UAV.
5. Thermal interference: By emitting a high-energy laser beam or microwave beam, the UAV is attacked by thermal energy, so that its key components are damaged or invalid, thus making the UAV unable to operate normally.
anti drone

Drone Jammer,UAV Drone signal blocker,Jammer Module,UAV Drone Jamming Module,Drone amplifer modules,signal jammers

Yetnorson Antenna Co., Ltd. , https://www.yetnorson.com

Posted on