Brain-mimicking decision-making and motion control systems

摘要

In the brain-mimicking decision making and motion control system, the system comprises an active decision module (l), an automatic decision module (2), an evaluation module (3), a memory module (4), a sensing module (5), and a complex control module (6), including an input channel module (7), an output channel module (8) and a control target module (9), such a system supports three working modes, such as active supervision mode, automatic mode and feedback driving mode In the process of robot interaction with the environment, it autonomously decides and selects targets and manipulations, enables precise control of motions, enables the robot to learn new manipulations through trial and error, imitation and demonstration education, and and flexibly adapt to changing missions and environments. Systems such as these include motion planning and control for multi-DOF robots, cooperative manipulation between humanoid robotic hands and cameras, walking and balancing for biped or multi-legged robots, and multi-actuators. It is particularly suitable for scenarios such as antagonistic control of