Let's share the functions and applications of different types of sensors

With today's technology, intelligent machines can complete the tasks we assign without human control or intervention. Although the technology is relatively new, smart robotics are already being used in factories, warehouses, cities and homes. For example, autonomous robots can be used to transport goods around warehouses or perform last-mile deliveries, while other types of robots can be used to vacuum or mow lawns.

Autonomy for a robot to transport goods around a warehouse requires the robot to sense the environment and position itself on a designated map. Dynamically detect surrounding obstacles and track them. Furthermore, robots should only perform these tasks when it is safe to avoid risks to people, property or the system itself.

As humans and robots interact more frequently, they need not only to be autonomous, mobile and energy-efficient, but also to meet functional safety requirements. With sensors, processors and controls, designers must meet stringent safety standards.

Therefore, many different types of sensors are required to address the challenges that accompany autonomous robots. The two types of sensors are detailed below:

A.Vision sensors can truly simulate human vision and perception. Vision systems can solve challenges such as localization, obstacle detection, and collision avoidance due to their high-resolution spatial coverage and ability to detect and classify objects. Vision sensors are also more cost-effective than sensors such as lidar, but vision sensors are computationally intensive.

B. Power-hungry central processing units (CPUs) and graphics processing units (GPUs) can pose challenges to power-constrained robotic systems. When designing energy-efficient robotic systems, CPU- or GPU-based processing should be used as little as possible. The TDA4 processor family is highly integrated and designed with a heterogeneous architecture to deliver computer vision performance, deep learning processing, stereo vision capabilities, and video analytics at the lowest possible power consumption.

C. The use of mmWave radar in robotic applications is a relatively new concept. In automotive applications, mmWave radar is a key element of advanced driver assistance systems (ADAS), which monitor the environment around the vehicle. You can apply some similar ADAS concepts such as surround view monitoring or collision avoidance to robotics.

From a sensing technology perspective, mmWave radar can provide information about an object's distance, velocity, and angle of arrival. Let the system better guide the robot based on the position, velocity and trajectory of approaching people or objects. Decide whether to continue driving safely, slow down or even stop.

xt-shnzhen is a supply chain integration company focusing on providing customers with high-quality electronic components. We have supply channels and spot inventory of many well-known brands such as Texas Instruments, Infineon, ON Semiconductor, ST, NXP, etc., and can quickly respond to customer needs, ensure a stable supply of electronic components in short supply, and help all manufacturers and customers. To solve the problem of shortage of components and implement BOM procurement of components.

xt-shnzhen is a supply chain integration company focusing on providing customers with high-quality electronic components. We have supply channels and spot inventory of many well-known brands such as Texas Instruments, Infineon, ON Semiconductor, ST, NXP, etc. We can quickly respond to customer needs, ensure a stable supply of electronic components in short supply, and help all manufacturers and customers. Solve the problem of shortage of components and implement BOM procurement of components. To know or buy more original electronic components, please visit our official website www.xt-shenzhen.cn