20060801

Chris和他的好友Mike因为帮忙的问题产生了分歧。Chris经常帮助Mike,但当Chris需要帮助时,Mike却总是说忙。Chris开始感到沮丧,不知道如何解决这个问题。Chris考虑是否应该继续无条件地帮助Mike或者设定一些界限。

 A Frustrated Friend
When is it OK to say no to a friend?
Aug 1st 2006

Chris and Mike spend a lot of time together .They are university classmates and good friends. But they are very different! Mike is charming, popular and often forgets things. Chris is quiet, kind and helpful.

Lately, Chris is a little frustrated with Mike. “Mr. Popular” often asks Chris to do things for him. Chris is glad to help his friend. But when Chris asks Mike for help. Mike says he’s too busy. Helping Mike is taking up more and more of Chris’s time. And Chris is staring to feel like Mike really takes advantage of him.

If you were Chris, what would you do?

Decision 1
(Chris talks to his girlfriend, Alyssa )
Chris: I’m not sure what to do. Should I just keep helping Mike whenever he asks me?
Alyssa: I don’t know. You might start to resent him. That’s not good for your friendship.
Chris: I know.
Alyssa: Could you talk to him about this?
Chris: I could, but I don’t like to confront people. You know that.
Alyssa: Well, then, what are you going to do? Just resent him?
Chris: No. But I don’t have to do everything he asks, either. I can just tell him I’m busy.
Alyssa: So you’re just going to make up excuses not to help him?
Chris: Sure. That’s probably the easiest way to handle it.

Word Bank
frustrated (adj.) 挫败的;泄气的
Mark is frustrated. His boss never listens to anything he says.

charming (adj.) 迷人的;有魅力的
Lucy is very charming. Everyone likes her.

resent ( v. ) 生气;憎恶
Saran resents the fact that her parents treat her like a child.

confront ( v. ) 与……正面冲突
Edward was late to work every day last week. Finally, his boss confronted him about it.

More information
take advantage of someone (idiom)
I never ask other people for favors. I don’t want to take advantage of anyone.

内容概要:本文围绕六自由度机械臂的人工神经网络(ANN)设计展开,重点研究了正向与逆向运动学求解、正向动力学控制以及基于拉格朗日-欧拉法推导逆向动力学方程,并通过Matlab代码实现相关算法。文章结合理论推导与仿真实践,利用人工神经网络对复杂的非线性关系进行建模与逼近,提升机械臂运动控制的精度与效率。同时涵盖了路径规划中的RRT算法与B样条优化方法,形成从运动学到动力学再到轨迹优化的完整技术链条。; 适合人群:具备一定机器人学、自动控制理论基础,熟悉Matlab编程,从事智能控制、机器人控制、运动学六自由度机械臂ANN人工神经网络设计:正向逆向运动学求解、正向动力学控制、拉格朗日-欧拉法推导逆向动力学方程(Matlab代码实现)建模等相关方向的研究生、科研人员及工程技术人员。; 使用场景及目标:①掌握机械臂正/逆运动学的数学建模与ANN求解方法;②理解拉格朗日-欧拉法在动力学建模中的应用;③实现基于神经网络的动力学补偿与高精度轨迹跟踪控制;④结合RRT与B样条完成平滑路径规划与优化。; 阅读建议:建议读者结合Matlab代码动手实践,先从运动学建模入手,逐步深入动力学分析与神经网络训练,注重理论推导与仿真实验的结合,以充分理解机械臂控制系统的设计流程与优化策略。
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