为了克服传统机器人设计方法存在的局限性 ，提高机器人的自适应能力 ，采用神经网络方法实现了进化机器人避碰、趋近及其组合行为学习 。
Obstacle avoidance, target approach and their combination behavior learning of evolutionary robot are realized by the use of artificial neural network in this paper.
针对仿人机器人设计中电机选型的问题，提出基于虚拟样机技术的电机选型方法。
In the paper, this problem of motor selection for robot design based on virtual prototype technology is solved.
采用正交试验设计的方法分析了机器人各杆件长度变化对躯体质心速度的影响程度，其结论可作为机器人设计时杆件参数选择的依据。
The influence to the velocity of body center by the length of each linkage is analyzed through orthogonal test method, which can be the foundation in robot design.
应用推荐