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中文摘要：
针对脑机接口信噪比低、准确率差和延时长等问题,提出了基于机器智能辅助的室外移动机器人脑机接口导航方法.设计并实现了一个基于脑机接口与双激光雷达的移动车导航系统.该系统首先采用了基于双激光雷达的改进的角度势场法进行局部路径规划,然后结合脑机接口系统获取的导航意图,经过融合决策给出控制命令,驱动一辆经过机械系统改装的电动汽车.实验表明,该系统能根据环境障碍信息和脑机控制意图实现智能避障与人机协同导航,具有更高的准确性、容错性和鲁棒性.
英文摘要：
A machine intelligence assistant BCI （brain-computer interface） navigation method for an outdoor mobile robot is put forward in view of the problem of BCI＇s low signal-to-noise ratio, bad accuracy and long time delay. A vehicle nav- igation system based on BCI and dual laser radar is designed and implemented. Firstly, an improved angle potential field method based on dual laser radar is used for local path planning, then with navigation intention from BCI system, control commands are generated by fusion decision and used for driving a electric vehicle with modified mechanical system. Exper- iments show that the system can realize intelligent obstacle avoidance and human-machine collaborative navigation based on environmental obstacle information and brain-machine interface control intention, and it has higher accuracy, tolerance and robustness.
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