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English | 2021 | ISBN: 9798201648114 | 230 pages | EPUB | 0.46 MB
Standard learning processes such as the Teach Pendant control most industrial robots. Accelerometer-based gesture recognition has become famous for the past decade. The advantages of the accelerometer are low to medium and small. The wireless sensor system (with the Wii Remote, based on accelerometer) can be used to control a robotic arm. This arm is designed to work in similar movements as the human arm.
The calibration of these teaching methods requires a lot of time. They can require extensive human intervention. Adjustments are made based on accelerometer data. When training a robot (Bipedal) feedback is helpful to learn new running parameters. The chapters of this book also focus on DIY and software.
The 3-axis accelerometer is attached to different parts of a robotic arm. The sensor (accelerometer) is configured to detect gestures (change arm positions). Only specific movements can activate the robot arm to work. Accelerometer data is analyzed to fit the detected precise movements, e.g., B. a swing to the right. Light trembling movements do not produce meaningful specific patterns. The advantage of such a control system is its programmable, repeatable robotic arm movements.
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