Intelligent robot technology represents a country's high-tech level and degree of automation, and it has broad development space and market prospects. At present, robotics has made great progress in the fields of industrial manufacturing, medical rehabilitation, anti-terrorism security, domestic service, deep sea and planetary exploration. However, robot systems built based on traditional control theories and methods cannot be as fast as humans when faced with complex tasks and problems such as dynamic environments, long-term navigation and autonomous learning due to their over-reliance on system modeling and information feedback. intelligent response and good adaptability.
To this end, this laboratory will focus on the research on the brain information processing mechanism, and use various types of robots as carriers to realize the coordination and control of multi-channel cognitive information such as vision, hearing, touch, and proprioception. Task-based brain-like intelligent robot control theory realizes autonomous learning of human decision-making behavior and completes control tasks under various complex environmental conditions.
The research on brain-like intelligent robots includes brain-like intelligent motion control, spatial positioning and navigation inspired by brain learning and memory mechanisms, research on brain-like working decision-making mechanisms, and brain-like intelligent robot platforms, as shown in the figure below.