robot system 中文意思是什麼

robot system 解釋
機器人系統
  • robot : n. 1. 機器人。2. 自動機,自動儀器,自動控制導[飛]彈,遙控設備。
  • system : n 1 體系,系統;分類法;組織;設備,裝置。2 方式;方法;作業方法。3 制度;主義。4 次序,規律。5 ...
  1. Multiple targets observation algorithm of multi - robot system based on altruism

    基於利它性的多機器人多目標觀測演算法
  2. The experiment indicates that the intelligent domestic cleaning robot system has the ability of auto cleaning, docking charge, the charge station could communicate with robot, fast and safe charge for battery

    結果表明智能家庭清掃機器人系統能夠實現自主清掃、對接充電的功能。整體實驗表明,充電站能夠與機器人實現通訊,並能夠對電池進行快速安全地充電,滿足了設計要求。
  3. Features of ac pulsed mig welding robot system

    焊接機器人系統的工藝特點
  4. Research of a novel 2 - dof planar parallel robot system

    平面並聯機器人系統的研究
  5. The specific application and experimental results in soccer robot system prove the feasibility and validity of the learning technique in complex adversarial systems. robots " intelligence level can be unproved through the use of this intelligent learning method

    機器人足球比賽的環境是一個動態、復雜、對抗的環境,並且每個機器人只能得到場上的不完全信息,如何使機器人能通過不斷的學習提高自己的性能是開發足球機器人系統的關鍵內容。
  6. Soccer robot system refers to many fields, such as robots, image processing, automatic control, communication, sensor and ai, etc. now it is an important experiment platform for studying multi - agent cooperation and artificial intelligence application technology

    足球機器人系統涉及機器人、圖像處理、自動控制、通信、傳感以及人工智慧等領域,目前其已成為研究多智能體系統和人工智慧應用技術研究的重要實驗平臺。
  7. Regulation of arm dynamics of a master - slave robot system is effective to give human operator a real sensation of presence that enables him / her to perform teleoperation task dexterously with the feeling that they exist inside the slave robot in remote environment

    摘要由於對主從機器人系統中主從手的動力學控制可使操作者獲得對操作物體的力覺臨場感,增強其執行復雜遙操作任務的能力。
  8. This thesis applies the system analysis method in the dialectics of nature into the analysis of the logical structure in the soccer robot system and the intelligent decision system for the first time

    本文在對機器人足球系統及其智能決策系統的邏輯結構進行了研究時首次採用了自然辯證法中的系統分析法。
  9. The kinematics, dynamics and control of space robot system have been discussed in this thesis

    本文主要研究了空間機器人的運動學、動力學建模及其控制模擬問題。
  10. In order to satisfy dynamic characteristics of the robot system, the individual that has the maximum fitness value is assigned to be input of the robot visual controller by evaluating inverse kinematics after each generation ga evolution. so the path planning based on ga process is considered to be in real time mode, which satisfies the requirements of a real time dynamic system

    為了滿足機器人視覺伺服系統的動態特性,把每一代ga進化后適應度值最大的個體作為機器人視覺控制器的輸入(要通過解機器人逆運動學) ,這樣就可以把基於6a的路徑規劃(目標搜索)看成是實時的,使改進后的ga能夠滿足實時系統的要求。
  11. When it arrives at the predetermined destination, the robot controls multi - putting - ball mechanisms and puts the game - ball into the drum simultaneously. on the other side, on the basis of the theory and experiment, we subjoin a line - tracking device in the robot system, ensuring the correct moving of the robot along the white index line on the venue, in order to increase the accuracy of orientation. during the automatic moving, the robot measures the position on the venue by itself, moreover, judging its direction and automatic cut - away with the single - chip microcomputer. this system has been finished the experiment, and find credibility, be in point

    同時,為了保證機器人正確地沿著比賽場地上的指示線行走,提高機器人定位的準確性,還從理論和實驗的角度,在機器人上增加了一套尋線系統,以便機器人在其自動行走的過程中,隨時檢測自身的位置狀態,判斷偏離方向,進行自動的糾正。這一套尋線系統已完成了實驗,且比較可靠、適用。
  12. At last, this paper analyzes the time delay problem existing in the most remote control robot system based on the internet, and discusses the feasibility and rationality of a method based on ip qos technology

    最後,本文就基於internet的遠程控制機器人系統普遍存在的時間延遲問題進行了細致的分析,並探討了一種基於ipqos技術的解決方案的可行性與合理性。
  13. Firstly, related research work on agent, multi - agent system ( mas ), robot, multi - robot system ( mrs ) and auv are described. then, based on the famous bdi theory, extended bdi model ( xbdi model ) is presented. in xbdi model, every robot or agent has own mental states, such as beliefs, desires, goals, intentions and behavioral property, such as roles, capabilities, plans, know - hows

    本文在簡要介紹agent及mas 、機器人及多機器人,尤其是水下機器人技術的研究現狀及發展趨勢之後,在目前廣為使用的bdi模型基礎之上,提出了適用於水下機器人的擴展bdi模型( exendedbdimodel ,以下簡稱為xbdi模型) ,描述了xbdi - agent的結構和功能、定義了xbdi邏輯語言l _ x 、給出了xbdi - agent的心智狀態的表示及處理方法、並給出了xbdi系統的運行演算法。
  14. Cavitations in foreign hydraulic turbines appear in clear water condition, so its destructive extent is not far more serious than in yellow river in our country. stronger stiffness and more agility are required for special - purpose robot for hydraulic turbine repair used in our country, especially robot for polishing after weld. foreign robot for hydraulic turbine repair could not satisfy our working require, so we develop special - purpose robot system that is used to polish and weld repair cavitated flow path surfaces of hydraulic turbines on all locations

    國外水電站的水輪機汽蝕是在清水條件下產生的,其破壞程度遠不及我國黃河等水域嚴重,用於我國水輪機修復工作的專用機器人,特別是補焊后承擔打磨的機器人,要求有更強的剛度和更大的靈活性,國外水輪機修復機器人滿足不了我國水輪機修復工作要求,因此我們開發了用於在機坑內對水輪機空蝕磨損破壞表面進行修復的「水輪機修復專用機器人」 。
  15. After that, a fuzzy neural network control design with mixed performance was proposed aiming at different requirement to uncertainty, which separately compensate parameter uncertainties and external disturbances of robot system. this method can ensure the robust stability that under a prescribed attenuation level for the external disturbance, and also strengthens compensation to parameter uncertainties. the theory of hybrid force / position control is clear, however, it is difficult to implement

    針對實際應用中對不確定的不同要求,又提出了一種具有混合/性能指標的神經網路控制方法,對機器人不確定性(包括參數不確定性和外部擾動)分別進行補償,保證了系統對外界干擾在給定的干擾衰減度下具有魯棒穩定性的同時,還增強了系統對參數不確定性的補償。
  16. As for the coming robot system, visual servoing will be the important and general control model

    對于未來的機器人系統,視覺伺服將是重要且通用的控制模式。
  17. This method can be applied to robot system with variant configurations, especially for the control of the reconfigurable robot

    該方法可應用於具有不同構形的機器人系統,特別適用於可重構模塊化機器人的控制。
  18. The soccer robot system is a dynamic environment with multiple obstacles. it is a problem of high complexity to perform path planning in such environments. the traditional methods are not efficient in such complex environments. in this paper, a self - learning method of robot navigation is proposed based on the reinforcement learning method and artificial potential field method

    本論文將增強式學習演算法和人工勢場法相結合,提出狀態評價函數和勢場的對應關系,以及控制策略和勢場力方向的對應關系,通過機器人的自適應學習,來形成優化的人工勢場,使機器人能夠以最短路徑繞過障礙,到達目標。
  19. The structure and locomotion mechanism of the robot are described, and driving mechanics models of the robot system are set up and analyzed

    介紹了機器人機體的構造和運動原理,建立了機器人系統驅動力學模型並做了相應分析。
  20. Chapter 2 is inverse kinematics model of parallel macro - micro robot system

    第二章並聯宏-微機器人系統的逆運動學模型。
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