robot motion造句
例句与造句
- application of can bus in romote controlled robot motion control system
总线在遥操作机器人运动控制系统中的应用 - collision detection and non-collision track planning play important roles as part of robot motion planning
碰撞检测和障碍规避是机器人运动规划的重要组成部分。 - at the end of the paper, based on an implemented robot motion control system, a fabrication, realizing a humanoid-like response service robot, is presented
文章的最后，基于已经设计实现的一个机器人运动控制系统，提出了应用神经网络力控制器，实现一个具有类人反应的服务机器人的构想。 - robot motion planning ( rmp ) problem is one of the most necessary and important topics, which is usually divided into two subproblems, i . e ., space path planning and frajectory planning
机器人运动规划问题是机器人领域中最基本、最重要的课题之一。一般将机器人运动规划分为空间路径规划和轨迹规划两部分。 - in chapter six, the characteristics of ch language are introduced firstly, then the programes writtien in ch including how to communicate with pmac, the robot motion control and the initialization of the new control system are presented
第六章先简单介绍了c~h语言的特点，接着对用c~h编写的与pmac进行通讯、puma560机器人控制系统初始化及机器人运动控制程序进行了说明。 - It's difficult to find robot motion in a sentence. 用robot motion造句挺难的
- according to the relationship of the scanning scope of robots, the local range of robot motion planning, and the safety distance in an ideal state, it discusses the prohibiting area and the potential collision area in the moving courses of the robots
根据理想状态下机器人的扫描范围、机器人规划的局部范围、安全距离之间的关系探讨了机器人运动过程中的禁入区、潜在的碰撞区。 - manipulate-level methods use symbolic / structural languages to describe the robot motion . task-level approaches may incorporate and use natural languages to describe the robot task in an objective-oriented rather than manipulator-oriented way
任务级编程时，编程者只给机器人直接下达执行某一确定任务的命令，应用人工智能的技术使机器人自动完成指定任务，而不需要指定机器人每一个动作的细节。 - after analyzing the disadvantage of general anti-collision method, it offers a soccer robot anti-collision control method based on evolutionary artificial potential field . combining bi-wheel robot motion model with robot track rule, it
分析了常用避碰方法的不足，提出了基于改进人工势场法的足球机器人动态避碰方法；根据机器人两轮差动模型，结合其运动轨迹的规律，给出了足球机器人运动控制方法。 - considering the designed system based on fuzzy control may have deficiency, so a fuzzy cerebellar mode ] articulation control system based on reinforcement learning is proposed . this system not only has people's experiment, but also has the ability to adjust the robot motion along with the different environment . to the question autonomous underwater vehicle path planning for region reconnaissance, the sensor based cellular decompositions is proposed . then the strategy based on fuzzy control is applied to object reconnaissance
考虑模糊规划系统是依赖于操作者的经验及知识，模糊规则可能存在着不足，因此设计基于再励学习的模糊小脑模型神经网络系统应用于水下机器人实时运动规划，该系统不仅可学习和掌握操作者的经验及知识，又可以根据特定的环境实时地调整水下机器人的模糊规划策略。 - however the computation of robot motion on the basis of image features takes place in a less intuitive projection of the task space, depending on the chosen image features and the method determining the distance between the features . as this process is non-linear and its parameters highly correlated, it presents a significant challenge to control design and has proven to be difficult to analyze theoretically
但是基于图像特征的机器人运动的计算并不是很直观，并且依赖于所选的图像特征和方法，这是一个非线性的过程，并且参数是高度相西安理工大学博士学位论文关的，这从理论上很难分析并且对机器人的控制设计提出了很大的挑战。 - collision detection has been researched in many fields such as robot motion planning and computer graphics for a long time . in the later years, with the rising of virtual reality and distributed interactive simulation, many researches focus on collision detection, especially collision detection with flexible objects
碰撞检测问题在机器人运动规划、计算机图形学等领域中有很长的研究历史，近年来随着虚拟现实、分布交互仿真等技术的兴起，碰撞检测，特别是软体碰撞检测问题开始成为研究的热点。 - the environments of mobile robot locating always vary, if it is running in a dynamic environment . for instance, it is possible that unknown obstacles appear, or the motion of moving obstacles which robot is dealing with exist large uncertainty in process of local obstacle avoidance . it may cause obstacle avoidance failure without considering these situations in process of robot motion planning
移动机器人在动态环境中运行时，它所处的环境经常会发生变化，如可能出现突发的障碍物，或在机器人的局部动态避碰过程中，机器人正在处理的障碍物的运动存在很强的不确定性，如果机器人在避碰时没有考虑到这一点就很可能导致避碰失败。