The autonomous driving controller is the core hardware and software component responsible for the autonomous driving functionality of a robotic chassis. By integrating various sensors on the chassis (such as LiDAR, visual sensors, and ultrasonic sensors) and the drive system (such as motors and driving wheels), along with advanced algorithms and software, it enables functions such as robot localization, navigation, obstacle avoidance, and path planning.

In the field of autonomous driving, its role is particularly critical. The autonomous driving controller is primarily responsible for integrating sensor data, running algorithms, and making control decisions to enable the vehicle’s autonomous driving capabilities. Studies show that its main functions include:

Perception Function: Acquiring surrounding environmental information through sensors, constructing high-precision maps, and achieving accurate Localization. For example, by using SLAM (Simultaneous Localization and Mapping) technology, robots can understand their own position and the surrounding environment in real time.

Control Function: Based on the perceived environmental information, controlling motors and drive wheels to enable movement, steering, and obstacle avoidance of the robot.

Navigation Function: Autonomously planning routes based on multi-sensor fusion data, ensuring safe and efficient movement of the robot in complex environments.

Safety Function: Detecting obstacles in real time through sensor data analysis and executing obstacle avoidance strategies to protect both the robot and its surroundings.

Diagnostic Function: Monitoring the operational status of the robotic chassis, performing fault diagnosis and maintenance management to reduce long-term maintenance costs.

Networking Function: Supporting communication with cloud platforms or other devices to enable remote control and data sharing.

By running complex algorithms (e.g., SLAM, path planning algorithms), the self-driving controller converts sensor data into control commands and drives the robot chassis to complete the intended tasks. For example, in service robots, the self-driving controller can realize automatic navigation and charging pile docking for floor sweepers; in industrial AGVs, it supports precise logistics handling and path optimization.

Integrated with robotic chassis, autonomous driving controllers are widely used in the following scenarios: