![]() ![]() Based on the neural mechanism of reinforcement learning, we propose a brain-inspired intention prediction model to enable the robot to perform actions according to the user's intention. To make that robots can better serve human beings, adaptable, simple, and flexible human-robot interaction technology is essential. Although these methods are simple and effective, they lack some flexibility, especially when the programming program is contrary to user habits, which will lead to a significant decline in user experience satisfaction. Most of the human-robot interaction technologies currently applied to home service robots are programmed by the manufacturer first, and then instruct the user to trigger the implementation through voice commands or gesture commands. ![]() With the development of artificial intelligence and robotic technology in recent years, robots are gradually integrated into human daily life. ![]()
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