Robot perception involves sensor fusion, visual recognition, laser SLAM, and environmental modeling, enabling robots to understand, interact with, and adapt to complex dynamic environments for autonomous navigation and manipulation.
Robot control covers motion planning, trajectory tracking, force control, and adaptive control, involving methods such as PID, fuzzy control, and neural networks to achieve precise, stable, and intelligent robot operations.
Robots can be classified by function, structure, and application areas, including industrial robots, service robots, mobile robots, collaborative robots, etc., involving sensing, control, artificial intelligence, and mechatronics technologies.
