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Статті в журналах з теми "Maze Solving Robot"
., Akib Islam. "SHORTEST DISTANCE MAZE SOLVING ROBOT." International Journal of Research in Engineering and Technology 05, no. 07 (July 25, 2016): 253–59. http://dx.doi.org/10.15623/ijret.2016.0507038.
Повний текст джерелаLatha gade, Mary swarna, GAjitha GAjitha, and Deepthi S. "Design and Implementation of Swam Robotics using Flood Fill Algorithm." IAES International Journal of Robotics and Automation (IJRA) 6, no. 4 (December 1, 2017): 269. http://dx.doi.org/10.11591/ijra.v6i4.pp269-276.
Повний текст джерелаBansal, Arun, and Sunil Agrawal. "A Robust Maze Solving Algorithm for a Micromouse Robot." Advanced Materials Research 403-408 (November 2011): 4762–68. http://dx.doi.org/10.4028/www.scientific.net/amr.403-408.4762.
Повний текст джерелаKumar, Rahul, Peni Jitoko, Sumeet Kumar, Krishneel Pillay, Pratish Prakash, Asneet Sagar, Ram Singh, and Utkal Mehta. "Maze Solving Robot with Automated Obstacle Avoidance." Procedia Computer Science 105 (2017): 57–61. http://dx.doi.org/10.1016/j.procs.2017.01.192.
Повний текст джерелаdel Rosario, Jay Robert B., Jefferson G. Sanidad, Allimzon M. Lim, Pierre Stanley L. Uy, Allan Jeffrey C. Bacar, Mark Anthony D. Cai, and Alec Zandrae A. Dubouzet. "Modelling and Characterization of a Maze-Solving Mobile Robot Using Wall Follower Algorithm." Applied Mechanics and Materials 446-447 (November 2013): 1245–49. http://dx.doi.org/10.4028/www.scientific.net/amm.446-447.1245.
Повний текст джерелаFahmi, Ismu Rijal, and Dwi Joko Suroso. "A Simulation-Based Study of Maze-Solving-Robot Navigation for Educational Purposes." Journal of Robotics and Control (JRC) 3, no. 1 (August 18, 2021): 48–54. http://dx.doi.org/10.18196/jrc.v3i1.12241.
Повний текст джерелаZhang, Hao Ming, Lian Soon Peh, and Ying Hai Wang. "Study on Flood-Fill Algorithm Used in Micromouse Solving Maze." Applied Mechanics and Materials 599-601 (August 2014): 1981–84. http://dx.doi.org/10.4028/www.scientific.net/amm.599-601.1981.
Повний текст джерелаHamdikatama, Bimantyoso, Arif Setyanto, and Ferry Wahyu Wibowo. "Analisis Software Robot Sterilisasi Ruangan Menggunakan Kendali Maze Solving." RESEARCH : Journal of Computer, Information System & Technology Management 4, no. 2 (June 10, 2021): 142. http://dx.doi.org/10.25273/research.v4i2.8214.
Повний текст джерелаZhang, Hao Ming, Lian Soon Peh, and Ying Hai Wang. "Software Design of Micromouse Motion Control." Applied Mechanics and Materials 602-605 (August 2014): 989–92. http://dx.doi.org/10.4028/www.scientific.net/amm.602-605.989.
Повний текст джерелаLee, Chyi Shyong, Juing Huei Su, Hsin Hsiung Huang, and Sin Mao Fu. "Line Maze Robot Training Course for the Senior High School Students." Applied Mechanics and Materials 278-280 (January 2013): 2156–59. http://dx.doi.org/10.4028/www.scientific.net/amm.278-280.2156.
Повний текст джерелаДисертації з теми "Maze Solving Robot"
Ottosson, Joachim, and Niklas Renström. "aMAZEing robot : A method for automatic maze solving." Thesis, KTH, Skolan för industriell teknik och management (ITM), 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-264491.
Повний текст джерелаSyftet med denna rapport var att undersöka en metod för automatiserad labyrintlösning genom att utveckla en robot som kan finna ett specifikt mål i en labyrint. På dessa grunder konstruerades en arduinobaserad robot. Styrmekanismen konstruerades på sådant sätt att differentialstyrning var möjlig vilket tillät svängar utan svängradie, vilket är att föredra vid trånga utrymmen. Vägkorsningsdetekteringen samt metoden för att bestämma vilken typ av vägkorsning som förekommer baserades på tre distansmätare. Dessa var monterade på robotens front samt på höger och vänster sida. Måldetekteringen var baserad på en IR sensor. Ett system medåterkoppling implementerades på den vänstra distansmätaren för att få roboten att hålla ett referensavstånd till väggen. Detta möjliggjorde även så att vägen kunde följas på ett optimalt sätt samt att roboten kunde rätas upp vid för stora eller för små tagna svängar. Roboten lyckades både detektera samt definiera vilken typ av vägkorsning som uppstod likväl som att detektera det specifika målet. Andelen utförda korrekta operationer vid detekterande av vägkorsning beräknades till 80% - 100% av fallen och målet detekterades 100% av gångerna vid det gjorda testerna. Definitionen av ”korrekt operaton ”i denna rapport var då roboten upptäckte en vägkorsning och utförde den operation som var i enlighet med den implementerade algoritmen. Rotationsfelet, det vill säga antalet grader från den önskade svängvinkeln, som uppstod vid de olika operationerna beräknades till 3.5◦ - 9.5◦ . Roboten började att oscillera vid vinklar större än 19.5◦ då den vänstra distansmätaren var vänd mot väggen vilket gjorde roboten mindre duglig att följa väggen samt att rätas upp.
Tang, Yuan-Shiun, and 湯杬勳. "Experimental Study of Maze Solving Algorithms in a Line Following Robot." Thesis, 2017. http://ndltd.ncl.edu.tw/handle/ku6mz3.
Повний текст джерела國立東華大學
電機工程學系
105
Since the artificial intelligence techniques developed, there have been a number of different maze solving algorithms in many publications. In this thesis, experimental results of the selected five maze solving algorithms performed in a line-following maze-solving micromouse robot are illustrated with comparison. The selected five algorithms contain the rules of the left-hand side, right-hand side, forward-first and left, forward-first and right, and left-first and right. All these algorithms are performed in the maze-solving micromouse robot. For practical experiments, an Arduino-based micromouse robot with the selected five maze-solving algorithms were developed. To give comparative discussion, experimental results from the developed micromouse robot are illustrated at last.
Chandra, Alex, and Alex Chandra. "A Study on Maze Solving Algorithm Using Improved Potential Value Method for a Micromouse Robot." Thesis, 2010. http://ndltd.ncl.edu.tw/handle/9cv753.
Повний текст джерела國立臺北科技大學
機電整合研究所
98
Robotic technology is developing quickly in the last few decades. Robots in early generations could only do simple and repeatable works, but now robots need to be smarter. One of many different kind robots is an autonomous mobile robot whose task is making decisions to find its own moving path. A micromouse is a mini, mobile, and autonomous robot which is specifically designed to find a way from a starting point to a destination point in an unknown maze as fast as possible. An efficient algorithm developed for an intelligent robot is highly required to avoid being trapped in the maze and find the shortest path as soon as possible. Herein, an improved maze solving algorithm employing potential value method is proposed in this thesis. Simulation results show that the proposed algorithm is capable of identifying the path by giving different maze configurations and has better performance than the original algorithm from a conference paper based on student’s t-test results. Furthermore, the simulation program can simulate all stages in a micromouse competition, including path finding from the starting cell to the destination cell, from the destination cell to the starting cell, and running back reversely on the shortest path. After testing the algorithms using a simulation program, the algorithms are implemented into a real micromouse robot AIRAT 2, which is a commercial mouse. The evaluation for this implementation is mainly based on the maze solving algorithms to verify the shorter way to the target, while wall sensing, motor control and movement speed are not the major concerns. The evaluation result shows that AIRAT 2 can solve not all types of maze can be solved properly; it is not because a defect in the searching algorithm but the navigation method needs to be improved.
Книги з теми "Maze Solving Robot"
Sundström, Göran. Administrative Reform. Edited by Jon Pierre. Oxford University Press, 2016. http://dx.doi.org/10.1093/oxfordhb/9780199665679.013.45.
Повний текст джерелаЧастини книг з теми "Maze Solving Robot"
Ferrari, Mario, Giulio Ferrari, and Ralph Hempel. "Solving a Maze." In Building Robots With Lego Mindstorms, 371–90. Elsevier, 2002. http://dx.doi.org/10.1016/b978-192899467-1/50067-7.
Повний текст джерела"Solving a Maze." In Building Robots with LEGO Mindstorms NXT, 327–48. Elsevier, 2007. http://dx.doi.org/10.1016/b978-159749152-5/50022-x.
Повний текст джерелаSingh, Akanksha. "Modified Expression to Evaluate the Correlation Coefficient of Dual Hesitant Fuzzy Sets and Its Application to Multi-Attribute Decision Making." In Fuzzy Systems [Working Title]. IntechOpen, 2021. http://dx.doi.org/10.5772/intechopen.96474.
Повний текст джерелаSreenivasan, Gopal. "Emotion." In Emotion and Virtue, 36–66. Princeton University Press, 2020. http://dx.doi.org/10.23943/princeton/9780691134550.003.0003.
Повний текст джерелаTiwari, Ritu, Anupam Shukla, and Rahul Kala. "Hybrid Evolutionary Methods." In Rapid Automation, 295–336. IGI Global, 2019. http://dx.doi.org/10.4018/978-1-5225-8060-7.ch014.
Повний текст джерелаBonabeau, Eric, Marco Dorigo, and Guy Theraulaz. "Cooperative Transport by Insects and Robots." In Swarm Intelligence. Oxford University Press, 1999. http://dx.doi.org/10.1093/oso/9780195131581.003.0011.
Повний текст джерела"validity of adopting the outcome suggested. In the court room, both parties put forward arguments and the judge chooses the argument that is either the most persuasive or that is the closest to the judge’s own belief concerning the outcome of the case. So far, in this text, there have been opportunities to read judgments and the judges have presented their decisions in the form of reasoned responses to the questions posed by the case. In the classroom, students are constantly called upon to practise and refine their skills in legal problem solving by engaging in reasoning processes leading to full scale argument construction. For the practising lawyer, a valid argument is of the utmost importance. Decisions as to right action can only be made by people who are able to distinguish between competing arguments and determine that, in a given set of circumstances, one argument is more valid than another. Judges are, of course, the ultimate arbiters of the acceptable decision. Sometimes, this decision is quite subjective. 7.7.1 Logic It is generally believed that academic and professional lawyers and, indeed, law students, are well skilled in the art of reasoning. Furthermore, it is believed that they are people who argue ‘logically’. To most, the term ‘logical’ indicates a person who can separate the relevant from the irrelevant, and come to an objective view, based often on supposedly objective formula. Colloquially, people accuse others, who change their mind or who are emotional in their arguing, of allowing their emotions to get the better of them, of ‘not being logical’. The dictionary defines logic as the science of reasoning, thinking, proof or inference. More than that, logic is defined as a science in its own right—a subsection of philosophy dealing with scientific method in argument and the uses of inference. Hegel called logic the fundamental science of thought and its categories. It certainly claims to be an accurate form of reasoning: its root is found in the Greek word logos meaning reason. Figure 7.7: a definition of logic." In Legal Method and Reasoning, 227. Routledge-Cavendish, 2012. http://dx.doi.org/10.4324/9781843145103-172.
Повний текст джерелаТези доповідей конференцій з теми "Maze Solving Robot"
Covaci, Rares, Gabriel Harja, and Ioan Nascu. "Autonomous Maze Solving Robot *." In 2020 IEEE International Conference on Automation, Quality and Testing, Robotics (AQTR). IEEE, 2020. http://dx.doi.org/10.1109/aqtr49680.2020.9129943.
Повний текст джерелаChang, Kuo-Chi, Yuwen Zhou, Akram Muhammad Shoaib, Kai-Chun Chu, Muhammad Izhar, Shafi Ullah, and Yuh-Chung Lin. "Shortest Distance Maze Solving Robot." In 2020 IEEE International Conference on Artificial Intelligence and Information Systems (ICAIIS). IEEE, 2020. http://dx.doi.org/10.1109/icaiis49377.2020.9194913.
Повний текст джерелаKathe, Omkar, Varsha Turkar, Apoorv Jagtap, and Girish Gidaye. "Maze solving robot using image processing." In 2015 IEEE Bombay Section Symposium (IBSS). IEEE, 2015. http://dx.doi.org/10.1109/ibss.2015.7456635.
Повний текст джерелаDang, Hongshe, Jinguo Song, and Qin Guo. "An Efficient Algorithm for Robot Maze-Solving." In 2010 2nd International Conference on Intelligent Human-Machine Systems and Cybernetics (IHMSC). IEEE, 2010. http://dx.doi.org/10.1109/ihmsc.2010.119.
Повний текст джерелаGupta, Bhawna, and Smriti Sehgal. "Survey on techniques used in Autonomous Maze Solving Robot." In 2014 5th International Conference- Confluence The Next Generation Information Technology Summit. IEEE, 2014. http://dx.doi.org/10.1109/confluence.2014.6949354.
Повний текст джерелаCampbell, Thomas, and James M. Hereford. "Scalability of robot swarms when applied to maze solving." In SoutheastCon 2015. IEEE, 2015. http://dx.doi.org/10.1109/secon.2015.7132906.
Повний текст джерелаSelvakumar, R., R. V. S. Abhiram, and K. Pranay Reddy. "Experimental analysis of maze solving robot using LSRB algorithm." In 2022 International Conference on Computer Communication and Informatics (ICCCI). IEEE, 2022. http://dx.doi.org/10.1109/iccci54379.2022.9740916.
Повний текст джерелаLin, Shih-Wei, Yao-Lin Huang, and Wen-Kuei Hsieh. "Solving Maze Problem with Reinforcement Learning by a Mobile Robot." In 2019 IEEE International Conference on Computation, Communication and Engineering (ICCCE). IEEE, 2019. http://dx.doi.org/10.1109/iccce48422.2019.9010768.
Повний текст джерелаTiwari, Alarsh, Tapas Badal, and Gaurav Singal. "Maze Solving with humanoid robot NAO using Real-Time object detection." In 2021 International Conference on Computer Communication and Informatics (ICCCI). IEEE, 2021. http://dx.doi.org/10.1109/iccci50826.2021.9402304.
Повний текст джерелаChivarov, Nayden, Stanislav Yovkov, Stefan Chivarov, Iva Tosheva, Matus Pleva, and Daniel Hladek. "NITRO Educational Mobile Robot Platform for Maze Solving and Obstacle Avoidance." In 2021 19th International Conference on Emerging eLearning Technologies and Applications (ICETA). IEEE, 2021. http://dx.doi.org/10.1109/iceta54173.2021.9726663.
Повний текст джерела