At present, many large factories have a large number of industrial robots , which together with human resources have created not only the value of social industrial production. However, current industrial robots are still undergoing technical improvements, especially with the updating and improvement of intelligent components such as MEMS accelerometers, gyroscopes, and pressure sensors. Industrial robots also use sensor technology to make them Become smarter and safer to use and unlock the many potentials that deliver greater value.
MEMS technology makes sensors more compact and intelligent, while also improving the efficiency and safety of industrial robots. In addition to better detection of abnormal conditions, such as severe vibrations that may cause damage, industrial robots need to sense the presence of workers to avoid injury to workers. For example, in many of the robot arm, the designer can use the built-in acceleration sensor microcontroller and memory, a slight build custom software control system, a sensor mounted at the tip or the necessary part of the robot arm, the robot arm is controlled Exercise, monitoring abnormal conditions in the work, while also ensuring the safety of production.
In the current design of robot sensor systems, the next trend will be to achieve robot performance goals with sensors. This is often referred to as sensor fusion, enabling sensor systems to take advantage of individual sensors to generate more accurate data and better product design.
For example, an electronic compass can indicate the north-south direction. While it may be argued that a magnetic sensor that reads the Earth's magnetic field is sufficient to provide stable information, this is not the case.
The output value of the magnetic sensor changes as the sensor tilts up or down. Therefore, a linear acceleration sensor needs to be added to sense the tilt motion, and a trigonometric function algorithm is used to compensate the magnetic sensor reading. A good electronic compass design will use both sensors. A better system will integrate these sensors in the same package, resulting in smaller sensors. For example, some sensor manufacturers produce multi-axis sensors with tilt-compensated geomagnetic field measurements that provide an easy way to integrate the direction of the xy axis into any robotic system.
In addition, for example, some systems that cannot use the GPS module navigation signals for indoor positioning can use the WiFi base station triangulation method to locate the user's smart phone in a shopping mall or an airport. The accuracy of the system can be enhanced by the addition of a very small air pressure sensor. With a relative height resolution of approximately 30 cm (1 ft), this sensor can easily detect whether the phone is moving upstairs or downstairs in the building. This simple information is very useful for simplifying or verifying complex triangulation algorithms. Monitoring robots that guard outdoor facilities also need to know whether it is moving to the mountains or downhill, which has an impact on the speed and power consumption of the robot, and is important data to consider when calculating its autonomous duration.
Finally, the use of an altimeter with a barometric sensor enables impact detection, another feature of sensor fusion. Autonomous robots moving around warehouse floors or hospital halls should be designed to avoid hitting people or objects, but if a collision occurs, the robot must be able to detect the collision. At this time, the acceleration sensor can be programmed to detect the vibration according to the specific collision mark, but this is not foolproof. By adding a pressure sensor coupled to the pneumatic belt around the robot, the system can have two different sources of sensing information, which improves the accuracy of collision event detection.
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