This outlines the technologies used in autonomous mobile robots, including an overview of their challenges, sensor data collection, external environment recognition, behavior planning, and decision-making.
MATLAB and Simulink support the development and verification of robotics and advanced, complex autonomous mobile robots. [Contents] - Design of hardware platforms - Acquisition of sensor data utilizing ROS and ROS 2 - Object recognition through image processing, deep learning, point cloud processing, and sensor fusion - Mapping and self-localization using SLAM and Visual SLAM - Path planning and path following - Simulation, verification, and hardware implementation By utilizing MATLAB and Simulink, algorithms in complex areas such as cognition, judgment, and control can be developed and verified in a single environment. Additionally, automatic code generation allows for seamless implementation to real-time hardware, GPUs, and embedded CPUs.
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