機器人狀態 的英文怎麼說

中文拼音 [jīqìrénzhuàngtài]
機器人狀態 英文
robotry
  • 機 : machineengine
  • 器 : 名詞1. （器具） implement; utensil; ware 2. （器官） organ 3. （度量; 才能） capacity; talent 4. （姓氏） a surname
  • 狀 : Ⅰ名詞1 （形狀） form; shape 2 （情況） state; condition; situation; circumstances 3 （陳述事件或...
  • 態 : 名詞1. （形狀; 狀態） form; condition; appearance 2. [物理學] （物質結構的狀態或階段） state 3. [語言學] （一種語法范疇） voice
  • 機器人 : robot
  • 機器 : 1. （用來轉換或利用機械能的機構） machine; machinery; engine 2. （引申為機構） apparatus; organ
  • 狀態 : status; state; condition; state of affairs: （病的）危險狀態 critical condition; 戰爭狀態 state o...
  1. State feedback control for the force reflecting telepresence teleerobot systems based on time forward observer

    遙操作機器人系統基於前向觀測器的狀態反饋控制
  2. Secondly, this dissertation analyses the action characters of soccer robot, designs kinds of actions in allusion to switchover of attack and defend, puts forward theory of action selection and rules of action selection in order to realize part cooperation which combines court subarea and switchover of attack and defend when soccer robot is under special state thirdly, after considering the characters of obstacles in the robot soccer, we have founded the collision module, to the current questions of obstacle - escaping arithmetic, we put forward the new obstacle - escaping strategy based on the speed vector information which is able to dope out the potential obstacles in the moving path and count out the suitable velocity to escape obstacles by the aid of the geometry transform of obstacle velocity vector the grid implementation arithmetic of path - searching tree is set forth for the convenience the result of simulating competition showed that this way is suitable to the mobile obstacle escaping

    （ 2 ）分析了足球機器人動作的特點，針對機器人足球比賽的攻防狀態轉變，進行了各類動作設計；為了使足球機器人在特定狀態下，實現局部的配合，將攻防狀態的變化與球場分區相結合，提出了足球機器人的動作選擇機理和動作選擇的規則。 （ 3 ）分析了機器人足球比賽中障礙物的特點，建立了足球機器人碰撞模型。針對目前機器人足球比賽中避障規劃演算法的不足，提出了基於障礙物的速度矢量信廣東工業大學工學博上學應論文息制定的足球機器人避障策略。
  3. 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。
  4. 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。
  5. Its solution yields a final set of constants, which, when multiplied by each of the internal states, gives a recommended, or optimal, control action for the ballbot to take at each moment in time

    這種解決方法會產生一組最終常數，這組常數乘上每一個內部狀態，可及時算出機器人在每一刻的建議（或最佳）控制動作。
  6. The author carry through the research on the stepped - characteristic of the robot using hydro - mechanical knowledge, put forward the method that make the robot can keep operating steadily under the state of diving the body

    論文運用流體力學的知識對管道內徑在線檢測機器人的行走特性進行了研究，提出了使機器人在潛體狀態下能夠保持穩定運行的方法。
  7. The relation between robot of stability and steady area is deduced when the robot walks in the ideal ground

    機器人在理想地面實現穩定行走時出現不穩定狀況的臨界條件，可以避免在行走過程中不穩定狀態的出現。
  8. 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。
  9. Supported by the national natural science foundation of china ( nsfc ) 2, the research topic of this paper has been focused on reinforcement learning and its applications in mobile robot navigation. one part of the main contents in this paper is the generalization methods for reinforcement learning in solving markov decision problems with continuous states and actions. another part of the main contents is the applications of reinforcement learning methods in the optimization of the path tracking controllers and the autonomous navigation controllers for mobile robots

    本文在國家自然科學基金項目「增強學習泛化方法研究及其在移動機器人導航中的應用」的資助下，以增強學習及其在移動機器人導航控制中的應用為研究內容，重點研究了增強學習在求解連續狀態和行為空間markov決策問題時的泛化（ generalization ）方法，並針對移動機器人在未知環境中的自主導航和路徑跟蹤控制器的優化設計問題，研究了增強學習在上述領域中的應用。
  10. Under the assumption that environment does not change when robot is stationary, the traditional robot teleoperation derived by event avoids the problem of variable time delay, but at the same time it causes the robot to have the shortcoming of " moveing and waiting "

    摘要傳統的基於事件遙操作系統雖然巧妙地避開了變化時延問題，但是它具有「走走停停」的特點，即機器人將當前狀態發送出去之後直到操作者的下一個指令到來之前機器人必須保證狀態沒有變化。
  11. In the constructing of the diagnosis module using the technology of the combination of the fuzzy logic and neural network, which based on the fuzzy adaptive learning control network, a simple kind of capable method for consummate the structure and performance of network is introduced, which includes the rules extraction based on the maximum weights matrix and the parameters amendment based on genetic algorithm by floating - point coding. during the monitoring of the parts condition, the output of the condition monitoring system shows the good working condition of the executing agency by fuzzily deducing from the control instruction send by the auv ' s controller and motion status, and so offers the proof to complete mission and return safely

    在珍斷模塊建模中採用模糊邏輯與神經網路結合的技術，以模糊自適應學習控制網路為核心，提出了一種簡單可行的基於最大權值矩陣的規則提取及基於浮點數編碼的遺傳演算法的參數調整的，完善網路結構與性能的方法，並在狀態監測過程中，通過對由控制器輸入的水下機器人運動控制量以及運行狀態的模糊推理，得到執行部件（推進器或舵）的工作狀態優劣程度，為保證水下機器人完成任務，安全返回提供控制依據。
  12. The behavior characteristic of the agriculture wheeled mobile robot is analyzed, and the corresponding state equation and measuring equation are deduced

    分析了輪式機器人導航系統的行為特點，給出了相應的系統狀態方程和系統觀測方程。
  13. As the legged system has a similar dynamics to that of three - dimensional inverted pendulum mode, whose supporting point is equivalently located at the zmp, what is more, there is dynamical relationship between the zero moment point ( zmp ) and the center of gravity ( cog ), so this paper proposed the method that controls the cog of the whole humanoid body system in real - time through the 3 - d inverted pendulum based on variable zmp : first, the irregular terrain analyzed and described, the author proposed an usual obstacles - spanning method, based on the position and the shape of obstacles, the author programmed the smooth trajectory of anklebones

    由於機器人的腿系統和三維倒立擺模型有著相似的動力學特徵，模型的支撐點就是機器人的零力矩點zmp ，另外零力矩點zmp和重心cog之間存在著動態關系，本文採用基於可變zmp的三維倒立擺動力學原理來對類人猿機器人進行質心軌跡生成。首先，通過對復雜地況進行分類統一描述，提出了一套通用的越障軌跡規劃方法，結合復雜地況下障礙的位置和形狀，規劃了機器人連續的踝關節軌跡。
  14. Genetic algorithm is using here to provide a good way to make different robots away from each other and near to their last destination during a map - building job. lower percentage of repeated searching and collision is then proven by computer simulation

    利用遺傳演算法使多個機器人盡量保持相互遠離並且距離原來的位置最近的狀態下進行環境探索，模擬實驗證明該演算法可以減少多機器人重復探索的幾率，並使機器人間碰撞幾率得到很大程度的降低。
  15. 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

    根據理想狀態下機器人的掃描范圍、機器人規劃的局部范圍、安全距離之間的關系探討了機器人運動過程中的禁入區、潛在的碰撞區。
  16. In basic action layer ' s designing, it uses a fuzzy - pid control algorithm that brings the system with a good dynamic and static performance. in the whole decision - making process, the protean situation on the competition ground is expressed by an artificial intelligence method for describing the state space that is constituted by selecting a small number of discrete representative states. desired actions are set for every robot based on the tasks of the system and the strategy

    其中在進行基本動作層的設計時，採用了模糊控制與pid控制相結合的智能控制演算法，使系統具有良好的動、靜態品質；而在進行整體決策時，採用了人工智慧的狀態空間表示方法，在比賽場上瞬息萬變的態勢中選擇少量的具有代表性的離散狀態來構成狀態空間，再根據系統需要完成的任務，為機器人確定有限的動作集合，並通過決策推理，給每個機器人選擇合適的動作，從而決策得出機器人的左右輪轉速值，實現對系統的實時控制。
  17. A new robust adaptive scheme which are used for tracking of this robot with parametric and bounded external uncertainties is proposed in this thesis. the controller is consist of a controller which is proposed by slotine1 ' 1 and nonlinear continued feedback compensation part. by estimating the unknown physical parameters of robot on - line, it can eliminate the effects result by parameters and external disturbances and guarantee gas and uniform boundedness of parametric estimation. the only information required in setting up the strategy is the output states of jionts, while the inversion of the inertia matrix or estimation the bound of the inertia matrix and measure the jionts accelerations are not needed. it is shown by simulations that the proposed control scheme has quicker convergence velocity and better control precision than paper [ 1 ] and control schemes at present

    針對該模型具有參數及有界外部擾動不確定性時提出了一種新的魯棒自適應控制策略，控制器由基於slotine的控制器和非線性連續反饋補償控制器構成。通過在線估計機器人的未知物理參數，有效的消除了由參數及外部擾動所引起的不確定性影響，保證系統達到漸近穩定和參數估計一致有界。與現存的許多控制方法相比，該控制策略不需求解慣性矩陣的逆或估計慣性矩陣的界，不需測量關節加速度，而唯一需要了解的只是系統輸出的位置及速度狀態。
  18. Including the testing of the validity of sensor data and the adapting of the q matrix in reai - time, the kalman filter is researched to improve the real - time, precision and robust of navigation system. with this method, the disturbances resulted from the many uncertainties in non - structure agricultural environment can be overcome, the movement of road line can be followed in the image space so that the technology of visual window can be used, the current measured state of wheeled mobile robot can be substituted by the predicted state to increase the real - time of control system

    包括傳感器數據有效性檢驗、 q陣自適應實時調整等內容，詳細地研究了利用擴展卡爾曼濾波理論改善導航系統實時性、精確性和可靠性的具體方法，以克服農田非結構化自然環境里存在的多種不確定因素給導航系統造成的干擾，跟蹤圖像空間中路徑目標的運動而便於有效地利用視覺窗口技術，提供輪式機器人狀態的預測值代替實測值進行導航控制來改善控制系統的實時性等
  19. Based on this method, mobile robot navigation experiment under multi - dynamic objects environment with single ccd is achieved and the validity of this method is proved

    並針對動態多目標環境下移動機器人視覺導航問題，研究了有限狀態粗糙集方法的實現過程，進行了可行性和有效性實驗。
  20. Secondly, structure of the robot control software was analysed, basic robot gaits was decided. the software was divided into a few modules, and communication protocol, motor servo module, sensor information gathering and processing module were designed. a kind of finite state machine ( fsm ) was employed to finish the robot basic gait decompose and plan

    其次，對機器人的控制軟體結構進行了分析，確定了基本步態的種類，採用模塊化方法對軟體進行劃分，設計了通信協議模塊、電機伺服控制模塊、傳感器信息採集與處理模塊等，並採用有限狀態機的方法完成了機器人基本步態的分解和規劃模塊。
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