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Relevant bibliographies by topics / Autonomous robot system; Robots; Simulation

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Academic literature on the topic 'Autonomous robot system; Robots; Simulation'

Author: Grafiati

Published: 4 June 2021

Last updated: 1 February 2022

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Journal articles on the topic "Autonomous robot system; Robots; Simulation"

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PETTERSSON, JIMMY, and MATTIAS WAHDE. "UFLIBRARY: A SIMULATION LIBRARY IMPLEMENTING THE UTILITY FUNCTION METHOD FOR BEHAVIORAL ORGANIZATION IN AUTONOMOUS ROBOTS." International Journal on Artificial Intelligence Tools 16, no. 03 (June 2007): 507–36. http://dx.doi.org/10.1142/s0218213007003382.

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A simulation software package (UFLibrary) implementing the utility function (UF) method for behavior selection in autonomous robots, is introduced and described by means of an example involving a simple exploration robot equipped with a repertoire of five different behaviors. The UFLibrary (as indeed the UF method itself) is aimed at providing a rapid yet reliable and generally applicable procedure for generating behavior selection systems for autonomous robots, while at the same time minimizing the amount of hand-coding related to the activation of behaviors. It is demonstrated how the UFLibrary allows a user to rapidly implement individual behaviors and to set up and carry out simulations of a robot in its arena, in order to generate and optimize, by means of an evolutionary algorithm, the behavior selection system of the robot.

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Jimenez, Felix, Teruaki Ando, Masayoshi Kanoh, and Tsuyoshi Nakamura. "Psychological Effects of a Synchronously Reliant Agent on Human Beings." Journal of Advanced Computational Intelligence and Intelligent Informatics 17, no. 3 (May 20, 2013): 433–42. http://dx.doi.org/10.20965/jaciii.2013.p0433.

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The ability of human symbiosis robots to communicate is indispensable for their coexistence with humans, so studies on the interaction between humans and robots are important. In this paper, we propose amodel robot self-sufficiency system that empathizes with human emotions, a model in which we apply the urge system to an autonomous system of emotions. We carry out simulation experiments on this model and verify the psychological interaction between the software robot and its users.

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Hou, Yew Cheong, Khairul Salleh Mohamed Sahari, Leong Yeng Weng, Hong Kah Foo, Nur Aira Abd Rahman, Nurul Anis Atikah, and Raad Z. Homod. "Development of collision avoidance system for multiple autonomous mobile robots." International Journal of Advanced Robotic Systems 17, no. 4 (July 1, 2020): 172988142092396. http://dx.doi.org/10.1177/1729881420923967.

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This article presents a collision avoidance system for multiple robots based on the current autonomous car collision avoidance system. The purpose of the system is to improve the current autonomous car collision avoidance system by including data input of other vehicles’ velocity and positioning via vehicle-to-vehicle communication into the current autonomous car collision avoidance system. There are two TurtleBots used in experimental testing. TurtleBot is used as the robot agent while Google Lightweight Communication and Marshalling is used for inter-robot communication. Additionally, Gazebo software is used to run the simulation. There are two types of collision avoidance system algorithm (collision avoidance system without inter-robot communication and collision avoidance system with inter-robot communication) that are developed and tested in two main road crash scenarios, rear end collision scenario and junction crossing intersection collision scenario. Both algorithms are tested and run both in simulation and experiment setup, each with 10 repetitions for Lead TurtleBot sudden stop, Lead TurtleBot decelerate, Lead TurtleBot slower speed, and straight crossing path conditions. Simulation and experimental results data for each algorithm are recorded and tabulated. A comprehensive comparison of performance between the proposed algorithms is analyzed. The results showed that the proposed system is able to prevent collision between vehicles with an acceptable success rate.

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Kurabayashi, Daisuke, Tatsuki Choh, Jia Cheng, and Tetsuro Funato. "Adaptive Formation Transition of a Swarm of Mobile Robots Based on Phase Gradient." Journal of Robotics and Mechatronics 22, no. 4 (August 20, 2010): 467–74. http://dx.doi.org/10.20965/jrm.2010.p0467.

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This paper describes an algorithm, inspired by the intelligent property of a slim mold, for adaptive formation transitions of a robot group composed of autonomous, non-labeled robots. In the proposed system, one leader robot that knows the target position guides the other robots; the other robots do not have any global information. Each individual robot is equipped with a nonlinear oscillator and a simple communication system realized by flashing LEDs. In order to control these robots, phase gradients and phase waves are used in a manner similar to those of a slime mold (amoeba). By controlling the directions the followers are heading according to the phase gradients, a swarm of robots can change its formation adaptively in an obstacle course. Not only is the algorithm formulated, but also real hardware is developed and the system design is analyzed. The proposed system was verified through simulations and real implementations of 10 autonomous mobile robots.

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Kurabayashi, Daisuke, and Hajime Asama. "Autonomous Knowledge Acquisition and Revision by Intelligent Data Carriers in a Dynamic Environment." Journal of Robotics and Mechatronics 13, no. 2 (April 20, 2001): 154–59. http://dx.doi.org/10.20965/jrm.2001.p0154.

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In this paper, we built a device and algorithm for implementation in autonomous robots that can enhance efficiency through autonomous knowledge acquisition and sharing. We also propose an algorithm to adapt our robotic system to dynamic environments. In this robotic system, the ""Intelligent Data Carrier"" provides navigational knowledge for autonomous mobile robots. An IDC summarizes fragmyents of knowledge from individual robots and tells the best direction toward a destination at which a robot wants to arrive. We make models of dynamic environments, and investigate the behaviors of autonomous robots that navigate using an intelligent data carrier system. We also create an algorithm that estimates the validity of knowledge in an IDC and allows the IDC to renew the knowledge autonomously. We verify effectiveness of the proposed algorithm by means of simulations.

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BESSEGHIEUR, Khadir, Wojciech KACZMAREK, and Jarosław PANASIUK. "Multi-robot Control via Smart Phone and Navigation in Robot Operating System." Problems of Mechatronics Armament Aviation Safety Engineering 8, no. 4 (December 30, 2017): 37–46. http://dx.doi.org/10.5604/01.3001.0010.7316.

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Robot Operating System (ROS) is an open source robot software framework which provides several libraries and tools to easily conduct different robot applications like autonomous navigation and robot teleoperation. Most of the available packages across the ROS community are addressed for controlling a single robot. In this paper, we aim to extend some packages so, they can be used in multi-robot applications on ROS. Mainly, the multi-robot autonomous navigation and multi-robot smart phone teleoperation are addressed in this work. After being extended and compiled, the new packages are assessed in some simulations and experiments with real robots.

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Martinez S., Fredy H., Fernando Martinez S., and Holman Montiel A. "Bacterial quorum sensing applied to the coordination of autonomous robot swarms." Bulletin of Electrical Engineering and Informatics 9, no. 1 (February 1, 2020): 67–74. http://dx.doi.org/10.11591/eei.v9i1.1538.

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This paper proposes a strategy for the coordination of a swarm of robots in an unknown environment. The basic idea is to achieve the autonomous movement of the group from an initial region to a target region avoiding obstacles. We use a behavior model similar to bacterial Quorum Sensing (QS) as a technique for the coordination of robots. This behavior has been described as a key element in the interaction between bacteria, and we use it as a basic tool for local interaction, both between the robot and between the robot and the environment. The movement of the swarm of robots, or multi-agent robotic system, is shown as an emerging behavior resulting from the interaction of agents (in the context of artificial intelligence) from basic rules of behavior. The proposed strategy was successfully evaluated by simulation on a set of robots.

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Miglino, Orazio, Henrik Hautop Lund, and Stefano Nolfi. "Evolving Mobile Robots in Simulated and Real Environments." Artificial Life 2, no. 4 (July 1995): 417–34. http://dx.doi.org/10.1162/artl.1995.2.4.417.

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The problem of the validity of simulation is particularly relevant for methodologies that use machine learning techniques to develop control systems for autonomous robots, as, for instance, the artificial life approach known as evolutionary robotics. In fact, although it has been demonstrated that training or evolving robots in real environments is possible, the number of trials needed to test the system discourages the use of physical robots during the training period. By evolving neural controllers for a Khepera robot in computer simulations and then transferring the agents obtained to the real environment we show that (a) an accurate model of a particular robot-environment dynamics can be built by sampling the real world through the sensors and the actuators of the robot; (b) the performance gap between the obtained behaviors in simulated and real environments may be significantly reduced by introducing a “conservative” form of noise; (c) if a decrease in performance is observed when the system is transferred to a real environment, successful and robust results can be obtained by continuing the evolutionary process in the real environment for a few generations.

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Senda, Kei, Yoshisada Murotsu, Akira Mitsuya, Hirokazu Adachi, Shin'ichi Ito, and Jynya Shitakubo. "Hardware Experiments of Autonomous Space Robot – A Demonstration of Truss Structure Assembly –." Journal of Robotics and Mechatronics 12, no. 4 (August 20, 2000): 343–50. http://dx.doi.org/10.20965/jrm.2000.p0343.

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This paper addresses an experimental system simulating a free-flying space robot, which has been constructed to study autonomous space robots. The experimental system consists of a space robot model, a frictionless table system, a computer system, and a vision sensor system. The robot model composed of two manipulators and a satellite vehicle can move freely on a two-dimensional planar table without friction by using air-bearings. The robot model has successfully performed the automatic truss structure construction including many jobs, e.g., manipulator berthing, component manipulation, arm trajectory control avoiding collision, assembly considering contact with the environment, etc. The experiment demonstrates the possibility of the automatic construction and the usefulness of space robots.

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Wanasinghe, Thumeera R., George K. I. Mann, and Raymond G. Gosine. "Decentralized Cooperative Localization Approach for Autonomous Multirobot Systems." Journal of Robotics 2016 (2016): 1–18. http://dx.doi.org/10.1155/2016/2560573.

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This study proposes the use of a split covariance intersection algorithm (Split-CI) for decentralized multirobot cooperative localization. In the proposed method, each robot maintains a local cubature Kalman filter to estimate its own pose in a predefined coordinate frame. When a robot receives pose information from neighbouring robots, it employs a Split-CI based approach to fuse this received measurement with its local belief. The computational and communicative complexities of the proposed algorithm increase linearly with the number of robots in the multirobot systems (MRS). The proposed method does not require fully connected synchronous communication channels between robots; in fact, it is applicable for MRS with asynchronous and partially connected communication networks. The pose estimation error of the proposed method is bounded. As the proposed method is capable of handling independent and interdependent information of the estimations separately, it does not generate overconfidence state estimations. The performance of the proposed method is compared with several multirobot localization approaches. The simulation and experiment results demonstrate that the proposed algorithm outperforms the single-robot localization algorithms and achieves approximately the same estimation accuracy as the centralized cooperative localization approach, but with reduced computational and communicative cost.

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Dissertations / Theses on the topic "Autonomous robot system; Robots; Simulation"

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Vaughan, Richard. "Experiments in animal-interactive robotics." Thesis, University of Oxford, 1998. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.325617.

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Hosking, Matthew R. "Testability of a swarm robot using a system of systems approach and discrete event simulation /." Online version of thesis, 2009. http://hdl.handle.net/1850/11215.

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McNeal, William B. "Simulation of the autonomous combat systems robot optical detection system." Monterey, Calif. : Springfield, Va. : Naval Postgraduate School ; Available from National Technical Information Service, 1997. http://handle.dtic.mil/100.2/ADA342228.

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Thesis (M.S. in Applied Physics) Naval Postgraduate School, December 1997.
"December 1997." Thesis advisor(s): Gordon Schacher, Donald Brutzman. Includes bibliographical references (p. 131). Also available online.

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Kancir, Pierre. "Méthodologie de conception de système multi-robots : de la simulation à la démonstration." Thesis, Lorient, 2018. http://www.theses.fr/2018LORIS519/document.

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Méthodologie de Conception de Système Multi-robots : de la Simulation à la Démonstration. Les systèmes multi-robots sont des systèmes complexes mais prometteurs dans de nombreux domaines, les nombreux travaux académiques dans ce domaine attestent de l'importance qu'ils auront dans le futur. Cependant, si ces promesses sont réelles, elles ne sont pas encore réalisées comme en témoigne le faible nombre de systèmes multi-robots utilisés dans l'industrie. Pourtant des solutions existent afin de permettre aux industriels et académiques de travailler ensemble à cette problématique. Nous proposons un état de l'art et les défis associés à la conception des systèmes multi-robots d'un point de vue académique et industriel. Nous présentons ensuite trois contributions pour la conception de ces systèmes : une réalisation d'un essaim hétérogène en tant que cas d'étude pratique afin de mettre en évidence les obstacles de conception. La modification d'un autopilote et d'un simulateur pour les rendre compatibles aux développements des systèmes multi-robots. La démonstration d'un outil d'évaluation sur la base des deux contributions précédentes. Enfin, nous concluons sur la portée de ces travaux et des perspectives à venir sur la base de l'open source
Multi-robot System Design Methodology : from Simulation to Demonstration Multi-robot systems are complex but promising systems in many fields, the number of academic works in this field underlines the importance they will have in the future. However, while these promises are real, they have not yet been realized, as evidenced by the small number of multi-robot systems used in the industry. However, solutions exist to enable industrialists and academics to work together on this issue. We propose a state of the art and challenges associated with the design of multi-robot systems from an academic and industrial point of view. We then present three contributions for the design of these systems: a realization of a heterogeneous swarm as a practical case study in order to highlight the design obstacles. The modification of an autopilot and a simulator to make them compatible with the development of multi-robot systems. Demonstration of an evaluation tool based on the two previous contributions. Finally, we conclude on the scope of this work and future perspectives based on open source

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Bhat, Sriharsha. "Hydrobatics: Efficient and Agile Underwater Robots." Licentiate thesis, KTH, Farkostteknik och Solidmekanik, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-286062.

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The term hydrobatics refers to the agile maneuvering of underwater vehicles. Hydrobatic capabilities in autonomous underwater vehicles (AUVs) can enable increased maneuverability without a sacrifice in efficiency and speed. This means innovative robot designs and new use case scenarios are possible. Benefits and technical challenges related to hydrobatic AUVs are explored in this thesis. The dissertation contributes to new knowledge in simulation, control and field applications, and provides a structured approach to realize hydrobatic capabilities in real world impact areas. Three impact areas are considered - environmental monitoring, ocean production and security. A combination of agility in maneuvering and efficiency in performance is crucial for successful AUV applications. To achieve such performance, two technical challenges must be solved. First, these AUVs have fewer control inputs than degrees of freedom, which leads to the challenge of underactuation. The challenge is described in detail and solution strategies that use optimal control and model predictive control (MPC) are highlighted. Second, the flow around an AUV during hydrobatic maneuvers transitions from laminar to turbulent flow at high angles of attack. This renders flight dynamics modelling difficult. A full 0-360 degree envelope flight dynamics model is therefore derived, which combines a multi-fidelity hydrodynamic database with a generalized component-buildup approach. Such a model enables real-time (or near real-time) simulations of hydrobatic maneuvers including loops, helices and tight turns. Next, a cyber-physical system (CPS) is presented -- it safely transforms capabilities derived in simulation to real-world use cases in the impact areas described. The simulator environment is closely integrated with the robotic system, enabling pre-validation of controllers and software before hardware deployment. The small and hydrobatic SAM AUV (developed in-house at KTH as part of the Swedish Maritime Robotics Center) is used as a test platform. The CPS concept is validated by using the SAM AUV for the search and detection of a submerged target in field operating conditions. Current research focuses on further exploring underactuated control and motion planning. This includes development of real-time nonlinear MPC implementations running on AUV hardware, as well as intelligent control through feedback motion planning, system identification and reinforcement learning. Such strategies can enable real-time robust and adaptive control of underactuated systems. These ideas will be applied to demonstrate new capabilities in the three impact areas.
Termen hydrobatik avser förmåga att utföra avancerade manövrer med undervattensfarkoster. Syftet är att, med bibehållen fart och räckvidd, utvigda den operationella förmågan i manövrering, vilket möjliggör helt nya användningsområden för maximering av kostnadseffektivitet. I denna avhandling undersöks fördelar och tekniska utmaningar relaterade till hydrobatik som tillämpas på undervattensrobotar, vanligen kallade autonoma undervattensfarkoster (AUV). Avhandlingen bidrar till ny kunskap i simulering, reglering samt tillämpning i experiment av dessa robotar genom en strukturerad metod för att realisera hydrobatisk förmåga i realistiska scenarier. Tre nyttoområden beaktas - miljöövervakning, havsproduktion och säkerhet. Inom dessa nyttoområden har ett antal scenarios identifierats där en kombination av smidighet i manövrerbarhet samt effektivitet i prestanda är avgörande för robotens förmåga att utföra sin uppgift. För att åstadkomma detta måste två viktiga tekniska utmaningar lösas. För det första har dessa AUVer färre styrytor/trustrar än frihetsgrader, vilket leder till utmaningen med underaktuering. Utmaningen beskrivs i detalj och lösningsstrategier som använder optimal kontroll och modellprediktiv kontroll belyses. För det andra är flödet runt en AUV som genomför hydrobatiska manövrar komplext med övergång från laminär till stark turbulent flöde vid höga anfallsvinklar. Detta gör flygdynamikmodellering svår. En full 0-360 graders flygdynamikmodell härleds därför, vilken kombinerar en multi-tillförlitlighets hydrodynamisk databas med en generaliserad strategi för komponentvis-superpositionering av laster. Detta möjliggör prediktering av hydrobatiska manövrar som t.ex. utförande av looping, roll, spiraler och väldigt snäva svängradier i realtids- eller nära realtids-simuleringar. I nästa steg presenteras ett cyber-fysikaliskt system (CPS) – där funktionalitet som härrör från simuleringar kan överföras till de verkliga användningsområdena på ett effektivt och säkert sätt. Simulatormiljön är nära integrerad i robot-miljön, vilket möjliggör förvalidering av reglerstrategier och mjukvara innan hårdvaruimplementering. En egenutvecklad hydrobatisk AUV (SAM) används som testplattform. CPS-konceptet valideras med hjälp av SAM i ett realistiskt sceanrio genom att utföra ett sökuppdrag av ett nedsänkt föremål under fältförhållanden. Resultaten av arbetet i denna licentiatavhandling kommer att användas i den fortsatta forskningen som fokuserar på att ytterligare undersöka och utveckla ny metodik för reglering av underaktuerade AUVer. Detta inkluderar utveckling av realtidskapabla ickelinjära MPC-implementeringar som körs ombord, samt AI-baserade reglerstrategier genom ruttplaneringsåterkoppling, autonom systemidentifiering och förstärkningsinlärning. Sådan utveckling kommer att tillämpas för att visa nya möjligheter inom de tre nyttoområdena.
SMaRC

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Sotiropoulos, Thierry. "Test aléatoire de la navigation de robots dans des mondes virtuels." Thesis, Toulouse 3, 2018. http://www.theses.fr/2018TOU30097/document.

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Un des défis majeurs pour le déploiement de systèmes autonomes dans des environnements variés, non structurés et à proximité de l'homme, est d'établir la confiance entre ces systèmes et leurs utilisateurs. En effet, les fautes internes du système, les incertitudes sur la perception, ou encore les situations non prévues, sont des menaces importantes qui pèsent sur cette confiance. Nos travaux se concentrent sur les robots autonomes qui font partis des systèmes autonomes. La validation du logiciel de navigation embarqué dans les robots est généralement centrée sur des tests sur le terrain, qui sont coûteux et potentiellement risqués pour le robot lui-même ou son environnement. De plus, il n'est possible de tester le système que dans un sous-ensemble restreint de situations. Une approche alternative consiste à effectuer des tests basés sur la simulation en immergeant le logiciel dans des mondes virtuels. L'objectif de cette thèse est d'étudier les possibilités et les limites qu'offre le test en simulation du logiciel embarqué dans les systèmes autonomes. Nos travaux traitent particulièrement du test en simulation de la couche de navigation de systèmes autonomes mobiles. Le premier chapitre présente les contextes de la sûreté de fonctionnement, des systèmes autonomes et de leur test, de la simulation et de la génération procédurale de mondes. Les problématiques liées au test des systèmes autonomes en simulation, telles que la définition et la génération des entrées ainsi que l'expression de l'oracle, sont identifiées et discutées. La génération procédurale de mondes utilisée dans les jeux vidéos est retenue comme piste pour répondre au problème de la générations des entrées de test (mondes et missions). Une première contribution est proposée dans le 2ème chapitre qui s'appuie sur la définition et l'implémentation d'une première plateforme expérimentale de test en simulation avec un robot mobile. Le logiciel de navigation utilisé est intégré dans le framework Genom et testé avec le simulateur MORSE. À travers cette expérimentation, des premières conclusions sont établies sur la pertinence de la génération procédurale de mondes, et sur l'oracle à considérer. Des mesures comme la tortuosité ou l'indéterminisme de la navigation sont définies. Ce premier travail mène également à proposer une approche permettant de définir des niveaux de difficulté de mondes. L'objectif du 3ème chapitre est d'identifier si les fautes connues et corrigées dans un logiciel de navigation auraient pu être détectées via la simulation. Près de 10 ans de commits du logiciel de navigation (dont le module P3D qui est une version académique d'un planificateur de trajectoire utilisé par la NASA) ont été ainsi analysés. Chaque faute relevée est étudiée pour déterminer si elle serait activable en simulation, et l'oracle nécessaire pour la détecter. De nombreuses recommandations sont extraites de cette étude, notamment sur les propriétés de l'oracle à mettre en place pour ce genre de système. Dans le quatrième chapitre, les enseignements tirés des deux chapitres précédents sont mis en œuvre dans une étude de cas d'un robot industriel. Le système considéré, fourni par notre partenaire industriel Naïo est celui du robot agricole bineur Oz. Les conclusions des chapitres précédents concernant la génération de monde et les oracles nécessaires sont validées par une campagne de test intensifs en simulation
One of the major challenges for the deployment of autonomous systems in diverse, unstructured and human shared environments, is the trust that can be placed in those systems. Indeed, internal faults in those systems, uncertainties on the perception, or even unforeseen situations, threat this confidence. Our work focus in autonomous robots, which are part of autonomous systems. The validation of the navigation software embedded in robots typically involves test campaigns in the field, which are expensive and potentially risky for the robot itself or its environment. These tests are able to test the system only in a small subset of situations. An alternative is to perform simulation-based testing, by immersing the software in virtual worlds. The aim of this thesis is to study the possibilities and limits offered by simulation-based testing of embedded software in autonomous systems. Our work deals particularly with simulation-based testing of the navigation layer of autonomous mobile robots. The first chapter introduce the contexts of dependability, autonomous systems and their testing, simulation and procedural generation of worlds. We identify and discuss the issues related to autonomous systems simulation-based testing, such as the definition and generation of inputs as well as the oracle. The procedural generation of worlds used in video games is retained as a way to answer the problem of the generation of test inputs (worlds and missions). A first contribution is presented in the second chapter, which is based on the definition and implementation of a first experimental simulation-based testing framework with a mobile robot. The navigation software used is integrated into the Genom framework and tested with the MORSE simulator. Through this experiment, first conclusions are drawn on the relevance of the procedural generation of worlds, and on the oracle to be considered. Measures such as tortuousness or indeterminism of navigation are defined. This first work also leads to propose an approach to define levels of difficulty of worlds. The purpose of the third chapter is to identify whether faults known and corrected in a academic navigation software could have been detected through simulation-based testing. Nearly 10 years of commits of the navigation software (including the P3D module which is an academic version of a trajectory planner used by NASA) were thus analyzed. Each fault detected is studied to determine the oracle necessary to detect it whether it could be activated in simulation. Many recommendations are extracted from this study, especially on the properties of the oracle to set up for this type of system. In the fourth chapter, lessons learned from the previous two chapters are implemented for the case of an industrial robot. The considered system, provided by our industrial partner Naïo is the agricultural robot Oz. The conclusions of the preceding chapters regarding the world generation and the oracles are validated by an intensive test campaign in simulation

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Mikhalsky, Maxim. "Efficient biomorphic vision for autonomous mobile robots." Queensland University of Technology, 2006. http://eprints.qut.edu.au/16206/.

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Autonomy is the most enabling and the least developed robot capability. A mobile robot is autonomous if capable of independently attaining its objectives in unpredictable environment. This requires interaction with the environment by sensing, assessing, and responding to events. Such interaction has not been achieved. The core problem consists in limited understanding of robot autonomy and its aspects, and is exacerbated by the limited resources available in a small autonomous mobile robot such as energy, information, and space. This thesis describes an efficient biomorphic visual capability that can provide purposeful interaction with environment for a small autonomous mobile robot. The method used for achieving this capability comprises synthesis of an integral paradigm of a purposeful autonomous mobile robot, formulation of requirements for the visual capability, and development of efficient algorithmic and technological solutions. The paradigm is a product of analysis of fundamental aspects of the problem, and the insights found in inherently autonomous biological organisms. Based on this paradigm, analysis of the biological vision and the available technological basis, and the state-of-the-art in vision algorithms, the requirements were formulated for a biomorphic visual capability that provides the situation awareness capability for a small autonomous mobile robot. The developed visual capability is comprised of a sensory and processing architecture, an integral set of motion vision algorithms, and a method for visual ranging of still objects that is based on them. These vision algorithms provide motion detection, fixation, and tracking functionality with low latency and computational complexity. High temporal resolution of CMOS imagers is exploited for reducing the logical complexity of image analysis, and consequently the computational complexity of the algorithms. The structure of the developed algorithms conforms to the arithmetic and memory resources available in a system on a programmable chip (SoPC), which allows complete confinement of the high-bandwidth datapath within a SoPC device and therefore high-speed operation by design. The algorithms proved to be functional, which validates the developed visual capability. The experiments confirm that high temporal resolution imaging simplifies image motion structure, and ultimately the design of the robot vision system.

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Paul, André. "Design of an autonomous navigation system for a mobile robot." Thesis, McGill University, 2005. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=99565.

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An autonomous navigational system for a mobile robot was developed based on a Laser-Range-Finder-based path planning and navigational algorithms. The system was enhanced by incorporating collision avoidance algorithms using data from a sonar sensor array, and further improved by establishing two virtual regions in front of the robot for obstacle detection and avoidance. Several virtual detector bands with varying dimensions were also added to the sides of the robot to check for rotational clearance safety and to determine the direction of rotation. The autonomous navigational system was tested extensively under indoor environment. Test results showed that the system performed satisfactorily in navigating the mobile robot in three structured mazes under indoor conditions.
An artificial landmark localization algorithm was also developed to continuously record the positions of the robot whilst it was moving. The algorithm was tested on a grid layout of 6 m x 6 m. The performance of the artificial landmark localization technique was compared with odometric and inertial measurements obtained using a dead-reckoning method and a gyroscope-corrected dead-reckoning method. The artificial landmark localization method resulted in much smaller root mean square error (0.033 m) of position estimates compared to the other two methods (0.175 m and 0.135 m respectively).

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Salvaro, Mattia. "Virtual sensing technology applied to a swarm of autonomous robots." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2015. http://amslaurea.unibo.it/8508/.

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This thesis proposes a novel technology in the field of swarm robotics that allows a swarm of robots to sense a virtual environment through virtual sensors. Virtual sensing is a desirable and helpful technology in swarm robotics research activity, because it allows the researchers to efficiently and quickly perform experiments otherwise more expensive and time consuming, or even impossible. In particular, we envision two useful applications for virtual sensing technology. On the one hand, it is possible to prototype and foresee the effects of a new sensor on a robot swarm, before producing it. On the other hand, thanks to this technology it is possible to study the behaviour of robots operating in environments that are not easily reproducible inside a lab for safety reasons or just because physically infeasible. The use of virtual sensing technology for sensor prototyping aims to foresee the behaviour of the swarm enhanced with new or more powerful sensors, without producing the hardware. Sensor prototyping can be used to tune a new sensor or perform performance comparison tests between alternative types of sensors. This kind of prototyping experiments can be performed through the presented tool, that allows to rapidly develop and test software virtual sensors of different typologies and quality, emulating the behaviour of several hardware real sensors. By investigating on which sensors is better to invest, a researcher can minimize the sensors’ production cost while achieving a given swarm performance. Through augmented reality, it is possible to test the performance of the swarm in a desired virtual environment that cannot be set into the lab for physical, logistic or economical reasons. The virtual environment is sensed by the robots through properly designed virtual sensors. Virtual sensing technology allows a researcher to quickly carry out real robots experiment in challenging scenarios without all the required hardware and environment.

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Dag, Antymos. "Autonomous Indoor Navigation System for Mobile Robots." Thesis, Linköpings universitet, Programvara och system, 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-129419.

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With an increasing need for greater traffic safety, there is an increasing demand for means by which solutions to the traffic safety problem can be studied. The purpose of this thesis is to investigate the feasibility of using an autonomous indoor navigation system as a component in a demonstration system for studying cooperative vehicular scenarios. Our method involves developing and evaluating such a navigation system. Our navigation system uses a pre-existing localization system based on passive RFID, odometry and a particle filter. The localization system is used to estimate the robot pose, which is used to calculate a trajectory to the goal. A control system with a feedback loop is used to control the robot actuators and to drive the robot to the goal. The results of our evaluation tests show that the system generally fulfills the performance requirements stated for the tests. There is however some uncertainty about the consistency of its performance. Results did not indicate that this was caused by the choice of localization techniques. The conclusion is that an autonomous navigation system using the aforementioned localization techniques is plausible for use in a demonstration system. However, we suggest that the system is further tested and evaluated before it is used with applications where accuracy is prioritized.

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Books on the topic "Autonomous robot system; Robots; Simulation"

1

McNeal, William B. Simulation of the autonomous combat systems robot optical detection system. Monterey, Calif: Naval Postgraduate School, 1997.

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SIMPAR 2008 (2008 Venice, Italy). Simulation, modeling, and programming for autonomous robots: First international conference, SIMPAR 2008, Venice, Italy, November 3-7, 2008 proceedings. New York: Springer, 2008.

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Pushkin, Kachroo, ed. Autonomous underwater vehicles: Modeling, control design, and simulation. Boca Raton: CRC Press, 2011.

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SIMPAR 2008 (2008 Venice, Italy). Simulation, modeling, and programming for autonomous robots: First international conference, SIMPAR 2008, Venice, Italy, November 3-7, 2008 proceedings. New York: Springer, 2008.

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Stefano, Carpin, ed. Simulation, modeling, and programming for autonomous robots: First international conference, SIMPAR 2008, Venice, Italy, November 3-7, 2008 proceedings. New York: Springer, 2008.

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Pushkin, Kachroo, ed. Autonomous underwater vehicles: Modeling, control design, and simulation. Boca Raton: CRC Press, 2011.

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Ando, Noriaki. Simulation, Modeling, and Programming for Autonomous Robots: Second International Conference, SIMPAR 2010, Darmstadt, Germany, November 15-18, 2010. Proceedings. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010.

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Simulation of the Autonomous Combat Systems Robot Optical Detection System. Storming Media, 1997.

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Kozlowski, Krzysztof, Mohammad O. Tokhi, and Gurvinder S. Virk. Mobile Service Robotics. World Scientific Publishing Co Pte Ltd, 2014.

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Progress report on simulation study of the ROMPS robot control system. [Washington, D.C.]: Catholic University of America, Dept. of Electrical Engineering, 1994.

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Book chapters on the topic "Autonomous robot system; Robots; Simulation"

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Tanoto, Andry, Felix Werner, and Ulrich Rückert. "Multi-Robot System Validation: From Simulation to Prototyping with Mini Robots in the Teleworkbench." In Advances in Autonomous Mini Robots, 147–59. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-27482-4_16.

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Kot, Tomáš, Václav Krys, and Petr Novak. "Simulation System for Teleoperated Mobile Robots." In Modelling and Simulation for Autonomous Systems, 164–72. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-13823-7_15.

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Tsukahara, Kiyoshi, Yorihiko Tanaka, Yingxin He, Toshihisa Miyamoto, and Kyouichi Tatsuno. "Conceptual Design of a Power Distribution Line Maintenance Robot Using a Developed CG Simulator and Experimental Robot System." In Simulation, Modeling, and Programming for Autonomous Robots, 340–51. Berlin, Heidelberg: Springer Berlin Heidelberg, 2008. http://dx.doi.org/10.1007/978-3-540-89076-8_33.

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Gherardi, Luca, Davide Brugali, and Andrea Luzzana. "Dealing with Conflicting Requirements in Robot System Engineering: A Laboratory-Based Course." In Simulation, Modeling, and Programming for Autonomous Robots, 554–65. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-11900-7_47.

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Matsusaka, Yosuke, and Isao Hara. "Implementation of Distributed Production System for Heterogeneous Multiprocessor Robotic Systems." In Simulation, Modeling, and Programming for Autonomous Robots, 275–87. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-17319-6_27.

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Ahn, Ho Seok, I.-Han Kuo, Chandan Datta, Rebecca Stafford, Ngaire Kerse, Kathy Peri, Elizabeth Broadbent, and Bruce A. MacDonald. "Design of a Kiosk Type Healthcare Robot System for Older People in Private and Public Places." In Simulation, Modeling, and Programming for Autonomous Robots, 578–89. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-11900-7_49.

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Lächele, Johannes, Antonio Franchi, Heinrich H. Bülthoff, and Paolo Robuffo Giordano. "SwarmSimX: Real-Time Simulation Environment for Multi-robot Systems." In Simulation, Modeling, and Programming for Autonomous Robots, 375–87. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-34327-8_34.

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Araiza-Illan, Dejanira, David Western, Anthony G. Pipe, and Kerstin Eder. "Systematic and Realistic Testing in Simulation of Control Code for Robots in Collaborative Human-Robot Interactions." In Towards Autonomous Robotic Systems, 20–32. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-40379-3_3.

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Drews, Sebastian, Sven Lange, and Peter Protzel. "Validating an Active Stereo System Using USARSim." In Simulation, Modeling, and Programming for Autonomous Robots, 387–98. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-17319-6_36.

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Awaad, Iman, Ronny Hartanto, Beatriz León, and Paul Plöger. "A Software System for Robotic Learning by Experimentation." In Simulation, Modeling, and Programming for Autonomous Robots, 99–110. Berlin, Heidelberg: Springer Berlin Heidelberg, 2008. http://dx.doi.org/10.1007/978-3-540-89076-8_13.

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Conference papers on the topic "Autonomous robot system; Robots; Simulation"

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Khan, Muhammad Tahir, and Clarence de Silva. "Immune System-Inspired Dynamic Multi-Robot Coordination." In ASME 2009 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2009. http://dx.doi.org/10.1115/detc2009-87715.

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This paper investigates multi-robot coordination for the deployment of autonomous mobile robots in order to carry out a specific task. A key to utilizing of the full potential of cooperative multi-robot systems is effective and efficient multi-robot coordination. The paper presents a novel method of multi-robot coordination based on an Artificial Immune System. The developed approach relies on Jern’s Immune Network Theory, which concerns how an antibody stimulates or suppresses another antibody and recognizes non-self antigens. In the present work, the robots are analogous to antibodies and the robotic task is analogous to an antigen in a biological immune system. Furthermore, stimulation and suppression in an immune system correspond to communication among robots. The artificial immune system will select the appropriate number of antibodies autonomously to eliminate the antigens. The developed method of multirobot coordination is verified by computer simulation.

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Angatkina, Oyuna, Kimberly Gustafson, Aimy Wissa, and Andrew Alleyne. "Path Following for the Soft Origami Crawling Robot." In ASME 2019 Dynamic Systems and Control Conference. American Society of Mechanical Engineers, 2019. http://dx.doi.org/10.1115/dscc2019-9175.

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Abstract Extensive growth of the soft robotics field has made possible the application of soft mobile robots for real world tasks such as search and rescue missions. Soft robots provide safer interactions with humans when compared to traditional rigid robots. Additionally, soft robots often contain more degrees of freedom than rigid ones, which can be beneficial for applications where increased mobility is needed. However, the limited number of studies for the autonomous navigation of soft robots currently restricts their application for missions such as search and rescue. This paper presents a path following technique for a compliant origami crawling robot. The path following control adapts the well-known pure pursuit method to account for the geometric and mobility constraints of the robot. The robot motion is described by a kinematic model that transforms the outputs of the pure pursuit into the servo input rotations for the robot. This model consists of two integrated sub-models: a lumped kinematic model and a segmented kinematic model. The performance of the path following approach is demonstrated for a straight-line following simulation with initial offset. Finally, a feedback controller is designed to account for terrain or mission uncertainties.

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Qing, Tang, Xiong Rong, Liu Yong, and Chu Jian. "HumRoboSim: An Autonomous Humanoid Robot Simulation System." In 2008 International Conference on Cyberworlds (CW). IEEE, 2008. http://dx.doi.org/10.1109/cw.2008.101.

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Haghshenas-Jaryani, Mahdi, Hakki Erhan Sevil, and Liang Sun. "Navigation and Obstacle Avoidance of Snake-Robot Guided by a Co-Robot UAV Visual Servoing." In ASME 2020 Dynamic Systems and Control Conference. American Society of Mechanical Engineers, 2020. http://dx.doi.org/10.1115/dscc2020-3156.

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Abstract This paper presents the concept of teaming up snake-robots, as unmanned ground vehicles (UGVs), and unmanned aerial vehicles (UAVs) for autonomous navigation and obstacle avoidance. Snake robots navigate in cluttered environments based on visual servoing of a co-robot UAV. It is assumed that snake-robots do not have any means to map the surrounding environment, detect obstacles, or self-localize, and these tasks are allocated to the UAV, which uses visual sensors to track the UGVs. The obtained images were used for the geo-localization and mapping the environment. Computer vision methods were utilized for the detection of obstacles, finding obstacle clusters, and then, mapping based on Probabilistic Threat Exposure Map (PTEM) construction. A path planner module determines the heading direction and velocity of the snake robot. A combined heading-velocity controller was used for the snake robot to follow the desired trajectories using the lateral undulatory gait. A series of simulations were carried out for analyzing the snake-robot’s maneuverability and proof-of-concept by navigating the snake robot in an environment with two obstacles based on the UAV visual servoing. The results showed the feasibility of the concept and effectiveness of the integrated system for navigation.

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Cheung, Yushing, Jae H. Chung, and Ketula Patel. "Semi-Autonomous Collaborative Control of Multi-Robotic Systems for Multi-Task Multi-Target Pairing." In ASME 2011 International Mechanical Engineering Congress and Exposition. ASMEDC, 2011. http://dx.doi.org/10.1115/imece2011-64699.

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In many applications, it is required that heterogeneous multi-robots are grouped to work on multi-targets simultaneously. Therefore, this paper proposes a control method for a single-master multi-slave (SMMS) teleoperator to cooperatively control a team of mobile robots for a multi-target mission. The major components of the proposed control method are the compensation for contact forces, modified potential field based leader-follower formation, and robot-task-target pairing method. The robot-task-target paring method is derived from the proven auction algorithm for a single target and is extended for multi-robot multi-target cases, which optimizes effect-based robot-task-target pairs based on heuristic and sensory data. The robot-task-target pairing method can produce a weighted attack guidance table (WAGT), which contains benefits of different robot-task-target pairs. With the robot-task-target pairing method, subteams are formed by paired robots. The subteams perform their own paired tasks on assigned targets in the modified potential field based leader-follower formation while avoiding sensed obstacles. Simulation studies illustrate system efficacy with the proposed control method.

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Dang, Fengying, and Feitian Zhang. "DMD-Based Distributed Flow Sensing for Bio-Inspired Autonomous Underwater Robots." In ASME 2018 Dynamic Systems and Control Conference. American Society of Mechanical Engineers, 2018. http://dx.doi.org/10.1115/dscc2018-9113.

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This paper presents a novel flow sensing method for autonomous underwater robots using distributed pressure measurements. The proposed flow sensing method harnesses a Bayesian filter and a dynamic mode decomposition (DMD)-based reduced-order flow model to estimate the dynamic flow environments. This data-driven estimation method does not rely on any analytical flow models and is applicable to many and various dynamic flow fields for arbitrarily shaped underwater robots. To demonstrate the effectiveness of the proposed distributed flow sensing approach, a simulation study with a Joukowski-foil-shaped underwater robot is presented.

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Kuts, Vladimir, Tauno Otto, Toivo Tähemaa, Khuldoon Bukhari, and Tengiz Pataraia. "Adaptive Industrial Robots Using Machine Vision." In ASME 2018 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2018. http://dx.doi.org/10.1115/imece2018-86720.

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The use of industrial robots in modern manufacturing scenarios is a rising trend in the engineering industry. Currently, industrial robots are able to perform pre-programmed tasks very efficiently irrespective of time and complexity. However, often robots encounter unknown scenarios and to solve those, they need to cooperate with humans, leading to unnecessary downtime of the machine and the need for human intervention. The main aim of this study is to propose a method to develop adaptive industrial robots using Machine Learning (ML)/Machine Vision (MV) tools. The proposed method aims to reduce the effort of re-programming and enable self-learning in industrial robots. The elaborated online programming method can lead to fully automated industrial robotic cells in accordance with the human-robot collaboration standard and provide multiple usage options of this approach in the manufacturing industry. Machine Vision (MV) tools used for online programming allow industrial robots to make autonomous decisions during sorting or assembling operations based on the color and/or shape of the test object. The test setup consisted of an industrial robot cell, cameras and LIDAR connected to MATLAB through a Robot Operation System (ROS). The online programming tests and simulations were performed using Virtual/Augmented Reality (VR/AR) toolkits together with a Digital Twin (DT) concept, to test the industrial robot program on a digital object before executing it on the real object, thus creating a safe and secure test environment.

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Richardson, Al, and Michael H. Rodgers. "Vision-based semi-autonomous outdoor robot system to reduce soldier workload." In Aerospace/Defense Sensing, Simulation, and Controls, edited by Grant R. Gerhart and Chuck M. Shoemaker. SPIE, 2001. http://dx.doi.org/10.1117/12.440000.

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Ikeda, Hidetoshi, Kazuki Hashimoto, Daisuke Murayama, Rikuto Yamazaki, and Eiji Nakano. "Robot teleoperation support system for collision avoidance between wheelchair front wheels and a step." In 2016 IEEE International Conference on Simulation, Modeling, and Programming for Autonomous Robots (SIMPAR). IEEE, 2016. http://dx.doi.org/10.1109/simpar.2016.7862397.

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Qi, Le, Baoxi Yuan, Peng Ma, Yingxia Guo, Feng Wang, and Chen Mi. "Scene Simulation and Cooperative Target Detection During UAV Autonomous Landing." In 2020 International Conference on Robots & Intelligent System (ICRIS). IEEE, 2020. http://dx.doi.org/10.1109/icris52159.2020.00018.

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Reports on the topic "Autonomous robot system; Robots; Simulation"

1

Christie, Benjamin, Osama Ennasr, and Garry Glaspell. Autonomous navigation and mapping in a simulated environment. Engineer Research and Development Center (U.S.), September 2021. http://dx.doi.org/10.21079/11681/42006.

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Unknown Environment Exploration (UEE) with an Unmanned Ground Vehicle (UGV) is extremely challenging. This report investigates a frontier exploration approach, in simulation, that leverages Simultaneous Localization And Mapping (SLAM) to efficiently explore unknown areas by finding navigable routes. The solution utilizes a diverse sensor payload that includes wheel encoders, three-dimensional (3-D) LIDAR, and Red, Green, Blue and Depth (RGBD) cameras. The main goal of this effort is to leverage frontier-based exploration with a UGV to produce a 3-D map (up to 10 cm resolution). The solution provided leverages the Robot Operating System (ROS).

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