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esigns to meet taskspecific performance objectives. LanguagesRoboML (Robotic Markup Language): RoboML is used for standardized representation of roboticsrelated data. It is designed to support munication language between humanrobot interface agents, as well as between robothosted processes and between interface processes, and to provide a format for archived data used by humanrobot interface agents. ROSSUM: A programming and simulation environment for mobile robots. The Rossum Project is an attempt to help collect, develop, and distribute software for robotics applications. The Rossum Project hopes to extend the same kind of collaboration to the development of robotic software. XRCL (Extensible Robot Control Language): XRCL (pronounced zircle) is a relatively simple, modern language and environment designed to allow robotics researchers to share ideas by sharing code. It is an open source project, protected by the GNU Copyleft. SummaryThe field of robotics has created a large class of robots with basic physical and navigational petencies. At the same time, society has begun to move towards incorporating robots into everyday life, from entertainment to health care. Moreover, robots could free a large number of people from hazardous situations, essentially allowing them to be used as replacements for human beings. Many of the applications being pursued by AI robotics researchers are already fulfilling that potential. In addition, robots can be used for more monplace tasks such as janitorial work. Whereas robots were initially developed for dirty, dull, and dangerous applications, they are now being considered as personal assistants. Regardless of application, robots will require more rather than less intelligence, and will thereby have a significant impact on our society in the future as technology expands to new horizons. 外文出處: Robotic technology / edited by A. Pugh./P. Peregrinus, c1993.附件1:外文資料翻譯譯文機(jī)器人技術(shù)簡介 在制造業(yè)領(lǐng)域,機(jī)器人的開發(fā)集中在執(zhí)行制造過程的工程機(jī)器人手臂上。此外,對感知和適應(yīng)一個(gè)部分未知的環(huán)境的需求需要智能(換句話說就是人工智能)。一般說來,機(jī)器人最有趣的一個(gè)方面是它們的行為,這需要一種形式的智能。電動(dòng)機(jī)很多種電動(dòng)機(jī)向機(jī)器人提供能源,讓它們用不同的編程動(dòng)作搬運(yùn)材料、零件、工具或?qū)S迷O(shè)備。兩個(gè)齒輪之間速度的改變?nèi)Q于每個(gè)齒輪上齒的數(shù)目。 變速箱: 變速箱運(yùn)轉(zhuǎn)的原理與齒輪和鏈條一樣,不過沒有鏈條。一次電池使用過一次就被丟棄;二次電池以一種(通常是)可逆的化學(xué)反應(yīng)工作,可以多次充電。 電子控制機(jī)器人中有兩個(gè)主要的硬件平臺。一個(gè)控制信號在繼電器的線圈產(chǎn)生磁場,物理地閉合開關(guān)。要想在實(shí)際中讓這個(gè)具有生產(chǎn)性,機(jī)器人必須有感知硬件和軟件,還要能快速地更新。交換器是傳感器的機(jī)制或元素,它將測量到的能源轉(zhuǎn)換成另一種形式的能源。它提供的功能類似于個(gè)人電腦內(nèi)部的微處理器(中央處理單元或 CPU)所執(zhí)行的功能。 ROBOOP(一個(gè)機(jī)器人技術(shù)面向?qū)ο?C++ 軟件包): 本軟件包是一個(gè)關(guān)于機(jī)器人模擬的面向?qū)ο?C++ 軟件包。請?jiān)L問其 Web 站點(diǎn)(請參閱參考資料)以獲得COBRA 技術(shù)信息、下載和文檔。TACO 是面向?qū)ο蟮?,因?yàn)樗鼘⑺校ㄎ锢淼暮瓦壿嫷模┛刂葡到y(tǒng)中的控制點(diǎn)作為分布式環(huán)境中的對象來對待。 控制器任務(wù)控制體系: 任務(wù)控制體系(Task Control Architecture,TCA)為移動(dòng)機(jī)器人簡化了任務(wù)級控制系統(tǒng)的建立。TCA 提供了控制功能,如任務(wù)分解、監(jiān)控和資源管理,這些對