Behavior Selection Mechanism of Two Typical Brain Movement Disorders: Comparative Study Using Robot
Behavior Selection Mechanism of Two Typical Brain Movement Disorders: Comparative Study Using Robot
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两种典型脑运动障碍的行为选择机制：使用机器人的比较研究
DOI：
10.1109/icdma.2010.458
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发表时间：
2010
期刊：
影响因子：
--
通讯作者：
Huang Weili
中科院分区：
文献类型：
--
作者：
Wang Yiping;Chen Qingwei;Huang Weili
帕金森氏病和亨廷顿氏病是两种典型的大脑运动障碍，几十年来这两种疾病都得到了广泛的研究。基底神经节（脊椎动物大脑中的一组皮层下核）的功能障碍通常被认为是这两种疾病的原因。但如果机器人得了帕金森病或亨廷顿病会怎样呢？本文基于基于行为的机器人学的概念，研究了真实机器人在遭受这两种疾病时的行为模式。实验结果表明，患病机器人在一定程度上表现出了帕金森病或亨廷顿舞蹈症的一些症状。这项研究对模拟高级大脑功能进行了探索，为未来设计更智能的行为选择方法带来了启示。
Parkinson's disease and Huntington's disease are two typical brain movement disorders, both of which have been studied extensively for decades. Dysfunctions in the basal ganglia-a group of sub cortex nuclei in vertebrate brains-are generally considered to account for these two diseases. But what will happen if a robot gets Parkinson's disease or Huntington's disease? Based on the concepts in behavior based robotics, this paper studied the behavior patterns of a real robot when it suffers such two diseases. The experiment results showed that the sick robot exhibited some symptoms of Parkinson's disease or Huntington's disease to some extent. This study made explorations to mimic high level brain functions and casted light on designing more intelligent behavior selection methods in the future.