Today's robots have human-like limb and sensory functions, a certain degree of intelligence, flexible movement procedures, and can be manipulated without human intervention. All of this is indispensable to the sensor's credit. The sensor is an important helper for the robot to perceive the outside world. They are like human perception organs. The robot's visual, force, touch, smell, taste and other perceptions of the external environment are provided by sensors. At the same time, the sensor can also be used to detect the working state of the robot itself, and the robot intelligently detects the external working environment and the object state. And a device that can be converted into an available output signal according to a certain rule. In order to make the robot achieve the highest possible sensitivity, a variety of sensors are installed in its body structure, so how many kinds of sensors should the robot have? Can you be as sensitive as possible as human beings?
The robot sensor can be divided into an internal sensor and an external sensor depending on the object to be detected.
The internal sensor is mainly used to detect the internal conditions of the robot, such as the position, speed, acceleration temperature, motor speed, motor load, battery voltage, etc. of the joints, and send the measured information as feedback information to the controller to form Closed-loop control.
The external sensor is used to obtain information about the robot's working object and the external environment. It is an information channel for the robot to interact with the surrounding, and is used to perform sensors such as vision, proximity, touch, and force, such as distance measurement and sound. , light, etc.
The details are as follows:
1, visual sensor
Machine vision is a system that enables robots to have a perceptual function. It acquires images through visual sensors for analysis, allowing robots to recognize objects, measure and judge, and achieve positioning and other functions. According to industry sources, the smart smart sensors currently used in China account for about 60% of the market share of the machine vision system market. The advantage of the visual sensor is that the detection range is wide and the information is rich. In practical applications, multiple visual sensors are often used or used together with other sensors. The shape, distance, speed and other information of the object can be obtained by a certain algorithm.
The depth of camera-based computing vision has become one of the hottest investment and entrepreneurial hot spots in the high-tech industry. Interestingly, many of the cutting-edge results in this field were first introduced by startups and then acquired by giants. For example, Intel acquired the RealSense camera, Apple acquired Kinect's technology provider PrimeSense, and Oculus acquired a high-accuracy target. Israeli technology company Pebbles Interfaces for gesture recognition technology. Although the entrepreneurial team in the field of computing in China has not yet entered the mainstream of investors on a large scale, the best among them has already achieved remarkable results.
In-depth cameras were introduced by IBM in the 1980s. This super company, which holds almost all of the hard drive's underlying data in the past, present and future, is the leader of the times. PrimeSense, founded in Israel in 2005, is a pioneer in the commercialization of this technology. At that time, the depth camera in the consumer market was still in the concept stage. Previously, the depth camera was only used in the industrial field to provide graphic vision services for robotic arms and industrial robots . Microsoft Kinect, which provides technical solutions, has become the pioneer of deep camera in the consumer field and has driven the entire industry to develop the technology for civilian use.
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