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结合示例学习的移动机器人免疫进化规划研究
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作者 李枚毅 蔡自兴 《计算机工程与应用》 CSCD 北大核心 2005年第19期18-21,共4页
针对变化和部分未知环境下的移动机器人导航,将示例学习和生命科学中的免疫原理、进化算法相结合,将过去进化过程中的经验(性能好的个体)通过示例表达,提出了一种结合示例学习的移动机器人免疫进化路径规划算法。该算法将示例中的路径... 针对变化和部分未知环境下的移动机器人导航,将示例学习和生命科学中的免疫原理、进化算法相结合,将过去进化过程中的经验(性能好的个体)通过示例表达,提出了一种结合示例学习的移动机器人免疫进化路径规划算法。该算法将示例中的路径片段通过进化机制与免疫操作等其他进化操作所产生的新路径片段相互高效地组合,能够快速地进化出全局(次)最优可行路径。借助仿真实验和一些理论分析,分析了示例学习如何有效地利用过去的经验来解决部分未知和变化环境下的路径规划问题,分析了所构造的免疫算子对算法的影响。 展开更多
关键词 移动机器人路径规划 示例学习 免疫进化算法 变化与部分未知环境
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Stability and agility: biped running over varied and unknown terrain 被引量:2
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作者 Yang YI Zhi-yun LIN 《Frontiers of Information Technology & Electronic Engineering》 SCIE EI CSCD 2015年第4期283-292,共10页
We tackle the problem of a biped running over varied and unknown terrain.Running is a necessary skill for a biped moving fast,but it increases the challenge of dynamic balance,especially when a biped is running on var... We tackle the problem of a biped running over varied and unknown terrain.Running is a necessary skill for a biped moving fast,but it increases the challenge of dynamic balance,especially when a biped is running on varied terrain without terrain information(due to the difficulty and cost of obtaining the terrain information in a timely manner).To address this issue,a new dynamic indicator called the sustainable running criterion is developed.The main idea is to sustain a running motion without falling by maintaining the system states within a running-feasible set,instead of running on a periodic limit cycle gait in the traditional way.To meet the precondition of the criterion,the angular moment about the center of gravity(COG) is restrained close to zero at the end of the stance phase.Then to ensure a small state jump at touchdown on the unknown terrain,the velocity of the swing foot is restrained within a specific range at the end of the flight phase.Finally,the position and velocity of the COG are driven into the running-feasible set.A five-link biped with underactuated point foot is considered in simulations.It is able to run over upward and downward terrain with a height difference of 0.15 m,which shows the effectiveness of our control scheme. 展开更多
关键词 Underactuated running biped Dynamic balance Varied and unknown terrain
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