1. Comprehensive analysis of core components

Basic perception layer

The depth camera of visual perception can assist robots in 3D grasping and indoor modeling; the laser radar enables robots to navigate and avoid obstacles, and perform 3D environmental modeling; the infrared camera achieves night vision and equipment overheat detection; and the visible light camera completes object recognition and scene understanding.

In terms of force and tactile perception, flexible tactile sensors make robotic bionic grasping safer; piezoelectric/piezoresistive sensors ensure foot balance and contact feedback; six-axis force sensors facilitate dexterous operation and collision buffering.

In motion and gesture perception, IMU (integrated accelerometer and gyroscope, used to calculate attitude) can be used for gesture control and fall prediction; UWB can be used for indoor positioning and collaborative positioning; joint encoders can be used to control joint movement accuracy.

The microphone array for auditory perception makes the robot's voice interaction and sound source localization more excellent.

Environment and interaction layer

Temperature and humidity sensors for environmental state perception enable robots to adapt to their environment and agricultural monitoring to be more efficient; ultrasonic sensors enable short-range obstacle avoidance and edge detection; gas sensors enable harmful gas detection and safety monitoring.

Navigation and positioning enhancement includes GPS/BeiDou (receiving satellite signals and calculating coordinates through multi-satellite time difference) for outdoor global positioning, and visual SLAM for map building and navigation in GPS-free scenarios.

The brain-computer interface enhanced by human-computer interaction can control by thought and assist in rehabilitation; tactile feedback sensors help prosthetics feel and collaborate safely.

Technology integration layer multimodal collaboration

Vision + LiDAR + IMU (vision for details, LiDAR for anti-illumination, IMU for blind spot compensation, fusion and error elimination vision), enabling robot outdoor navigation to resist interference;

Force sensing + touch sensing + encoder, achieving closed-loop control for dexterous grasping;

UWB + visual SLAM achieves high-precision indoor positioning.

2. Focus on pain points

Conclusion:

As the core support for robot perception and interaction, embodied intelligence sensors are continuously driving the evolution of robot technology towards more intelligent, adaptable, and efficient directions. From basic perception to multi-technology integration, sensor technology at every level is laying a solid foundation for the deep adaptation of robots and products in various fields. It is believed that with its empowerment, robots will unleash their potential in more scenarios, injecting strong impetus into industrial upgrading and life transformation.

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