Dependable robotic solutions need trustworthy, redundant, and cost-effective sensing technology. IMU sensors are ideal for measuring the motion and attitude of the robot. They’re also useful for acceleration, impact and vibration monitoring.
The IMU enables dynamic balancing control by providing information on orientation and kinematics. It can also provide pointing and dead reckoning trajectory estimation when external navigation and mapping references are unavailable.
Sensor fusion is a critical strategy for robotic applications that need to process data generated by different sources. By fusing multi-sensor data, the resulting information is made richer and more reliable. Combining data of multiple sensors is especially required when using robots for complex real-time tasks in dynamically changing conditions. The more IMU a robot has, the more AI and software algorithms it needs. These are fundamental for transforming raw input data into control output signals for motion, interaction, and manipulation.