Dissertations / Theses on the topic 'Robot control'
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Majors, Michael David. "Iterative robot control." Thesis, University of Cambridge, 1998. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.625008.
Full textBishop, Russell C. "A Method for Generating Robot Control Systems." Connect to resource online, 2008. http://rave.ohiolink.edu/etdc/view?acc_num=ysu1222394834.
Full textCelikkanat, Hande. "Control Of A Mobile Robot Swarm Via Informed Robots." Master's thesis, METU, 2008. http://etd.lib.metu.edu.tr/upload/12609966/index.pdf.
Full textDentler, Donald Richard II. "Design, Control, and Implementation of a Three Link Articulated Robot Arm." University of Akron / OhioLINK, 2008. http://rave.ohiolink.edu/etdc/view?acc_num=akron1217208877.
Full textSmith, Brian Stephen. "Automatic coordination and deployment of multi-robot systems." Diss., Atlanta, Ga. : Georgia Institute of Technology, 2009. http://hdl.handle.net/1853/28248.
Full textCommittee Chair: Dr. Magnus Egerstedt; Committee Co-Chair: Dr. Ayanna Howard; Committee Member: Dr. David Taylor; Committee Member: Dr. Frank Dellaert; Committee Member: Dr. Ian Akyildiz; Committee Member: Dr. Jeff Shamma.
Wang, Zongyao. "Distributed robot flocking control." Thesis, University of Essex, 2009. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.499765.
Full textJou, Yung-Tsan. "Human-Robot Interactive Control." Ohio University / OhioLINK, 2003. http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1082060744.
Full textMacdonald, Edward A. "Multi-robot assignment and formation control." Thesis, Georgia Institute of Technology, 2011. http://hdl.handle.net/1853/41200.
Full textSequeira, Gerard. "Vision based leader-follower formation control for mobile robots." Diss., Rolla, Mo. : University of Missouri-Rolla, 2007. http://scholarsmine.mst.edu/thesis/pdf/Sequeira_09007dcc804429d4.pdf.
Full textVita. The entire thesis text is included in file. Title from title screen of thesis/dissertation PDF file (viewed February 13, 2008) Includes bibliographical references (p. 39-41).
Gaskett, Chris, and cgaskett@it jcu edu au. "Q-Learning for Robot Control." The Australian National University. Research School of Information Sciences and Engineering, 2002. http://thesis.anu.edu.au./public/adt-ANU20041108.192425.
Full textRahim, Nabil A. "Adaptive control of robot manipulators." Thesis, University of Leeds, 1987. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.329126.
Full textWahab, W. "Adaptive control of robot manipulator." Thesis, University of Manchester, 1985. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.372317.
Full textHo, Pi-Luen. "Parallel processing of robot control." Thesis, University of Reading, 1991. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.293162.
Full textMustafa, F. "Robot manipulation and trajectory control." Thesis, University of Sussex, 1986. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.375136.
Full textLi, Weiping. "Adaptive control of robot motion." Thesis, Massachusetts Institute of Technology, 1990. http://hdl.handle.net/1721.1/14135.
Full textUba, B. V. "Smart robot control information technology." Master's thesis, Sumy State University, 2021. https://essuir.sumdu.edu.ua/handle/123456789/86925.
Full textPaulsson, Johan. "Wireless Control of Industrial Robot." Thesis, Uppsala universitet, Solcellsteknik, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-415059.
Full textWarshaw, Gabriel D. (Gabriel David) Carleton University Dissertation Engineering Systems and Computer. "Sampled-data robot adaptive control." Ottawa, 1994.
Find full textGaskett, Chris. "Q-Learning for robot control." View thesis entry in Australian Digital Theses Program, 2002. http://eprints.jcu.edu.au/623/1/gaskettthesis.pdf.
Full textSteven, Andrew. "Hybrid force and position control in robotic surface processing." Thesis, University of Newcastle Upon Tyne, 1989. http://hdl.handle.net/10443/657.
Full textIgelmo, Victor. "Using a general robot programming system to control an industrial robot." Thesis, Högskolan i Skövde, Institutionen för ingenjörsvetenskap, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:his:diva-15722.
Full textDamweber, Michael Frank. "Model independent offset tracking with virtual feature points." Thesis, Georgia Institute of Technology, 2000. http://hdl.handle.net/1853/17651.
Full textGarratt, Matthew A. "Biologically inspired vision and control for an autonomous flying vehicle /." View thesis entry in Australian Digital Theses Program, 2007. http://thesis.anu.edu.au/public/adt-ANU20090116.154822/index.html.
Full textKotzev, Shmuel. "Hierarchical task decomposition and execution for robot manipulation task using a wrist force sensor." Thesis, University of British Columbia, 1990. http://hdl.handle.net/2429/29627.
Full textApplied Science, Faculty of
Mechanical Engineering, Department of
Graduate
Tarbouriech, Sonny. "Dual-Arm control strategy in industrial environments." Thesis, Montpellier, 2019. http://www.theses.fr/2019MONTS111.
Full textThe growing need for flexibility in industrial settings leads to reconsidering the way robotic systems are exploited in such environments. It follows that the relationship between humans and machines has to evolve in favor of more proximity, by letting them share the same workspace and physically interact together.With this in mind, this thesis aims at contributing beyond the state of art in the control of dual-arm robots for collaborative purposes in an industrial context. We propose a generic online kinematic control approach based on an admittance control law which enables safe manipulation of objects in physical collaboration with humans. The controller solves a acrfull{qp} optimization problem to find the joint space motion that satisfies the task space command while respecting a set of constraints (e.g. joint limits, collision avoidance).The kinematic solver can be tuned to generate parsimonious solutions at the joint velocity level, meaning that as few actuators as possible are activated to achieve the tasks. This induces potentially safer behavior in an unstructured environment shared with humans.Dual-arm platforms are sometimes extended to include additional robots (e.g., mobile base, articulated torso, ...). In this thesis, we also present an original hierarchical method for the control of multi-robot systems.An open-source implementation of the work, acrfull{rkcl}, is available. It implements all the components described in this thesis and can be easily configured to work with new robots. Throughout the developments, experimental validations have been performed on the dual-arm mobile cobot BAZAR
Racioppo, Peter Charles. "Design and Control of a Cable-Driven Articulated Modular Snake Robot." Thesis, Virginia Tech, 2018. http://hdl.handle.net/10919/91983.
Full textMS
Sorour, Mohamed. "Motion discontinuity-robust controller for steerable wheeled mobile robots." Thesis, Montpellier, 2017. http://www.theses.fr/2017MONTS090/document.
Full textSteerable wheeled mobile robots gain mobility by employing fully steerable conventional wheels, having two active joints, one for steering, and another for driving. Despite having only one degree of mobility (DOM) (defined here as the instantaneously accessible degrees of freedom DOF), corresponding to the rotation about the instantaneous center of rotation (ICR), such robots can perform complex $2D$ planar trajectories. They are cheaper and have higher load carrying capacity than non-conventional wheels (e.g., Sweedish or Omni-directional), and as such preferred for industrial applications. However, this type of mobile robot structure presents challenging textit{basic} control issues of steering coordination to avoid actuator fighting, avoiding kinematic (ICR at the steering joint axis) and representation (from the mathematical model) singularities. In addition to solving the textit{basic} control problems, this thesis also focuses attention and presents solutions to textit{application level} problems. Specifically we deal with two problems: the first is the necessity to "discontinuously" reconfigure the steer joints, once discontinuity in the robot trajectory occurs. Such situation - discontinuity in robot motion - is more likely to happen nowadays, in the emerging field of human-robot collaboration. Mobile robots working in the vicinity of fast moving human workers, will usually encounter discontinuity in the online computed trajectory. The second appears in applications requiring that some heading angle is to be maintained, some object or feature stays in the field of view (e.g., for vision-based tasks), or the translation verse changes. Then, the ICR point is required to move long distances from one extreme of the workspace to the other, usually passing by the robot geometric center, where the feasible robot velocity is limited. In these application scenarios, the state-of-art ICR based controllers will lead to unsatisfactory behavior/results. In this thesis, we solve the aforementioned application level problems; namely discontinuity in robot velocity commands, and better/efficient planning for ICR point motion control while respecting the maximum steer joint performance limits, and avoiding kinematic and representational singularities. Our findings has been validated experimentally on an industrial mobile base
Giftsun, Nirmal. "Handling uncertainty and variability in robot control." Thesis, Toulouse, INSA, 2017. http://www.theses.fr/2017ISAT0028/document.
Full textAmidst a lot of research in motion planning and control in concern with robotic applications, the mankind has never reached a point yet, where the robots are perfectly functional and autonomous in dynamic settings. Though it is controversial to discuss about the necessity of such robots, it is very important to address the issues that stop us from achieving such a level of autonomy. Industrial robots have evolved to be very reliable and highly productive with more than 1.5 million operational robots in a variety of industries. These robots work in static settings and they literally do what they are programmed for specific usecases, though the robots are flexible enough to be programmed for a variety of tasks. This research work makes an attempt to address these issues that separate both these settings in a profound way with special focus on uncertainties. Practical impossibilities of precise sensing abilities lead to a variety of uncertainties in scenarios where the robot is mobile or the environment is dynamic. This work focuses on developing smart strategies to improve the ability to handle uncertainties robustly in humanoid and industrial robots. First, we focus on a dynamical obstacle avoidance framework proposed for industrial robots equipped with skin sensors for reactivity. Path planning and motion control are usually formalized as separate problems in robotics. High dimensional configuration spaces, changing environment and uncertainties do not allow to plan real-time motion ahead of time requiring a controller to execute the planned trajectory. The fundamental inability to unify both these problems has led to handle the planned trajectory amidst perturbations and unforeseen obstacles using various trajectory execution and deformation mechanisms. The proposed framework uses ’Stack of Tasks’, a hierarchical controller using proximity information to avoid obstacles. Experiments are performed on a UR5 robot to check the validity of the framework and its potential use for collaborative robot applications. Second, we focus on a strategy to model inertial parameters uncertainties in a balance controller for legged robots. Model-based control has become more and more popular in the legged robots community in the last ten years. The key idea is to exploit a model of the system to compute precise motor commands that result in the desired motion. This allows to improve the quality of the motion tracking, while using lower feedback gains, leading so to higher compliance. However, the main flaw of this approach is typically its lack of robustness to modeling errors. In this paper we focus on the robustness of inverse-dynamics control to errors in the inertial parameters of the robot. We assume these parameters to be known, but only with a certain accuracy. We then propose a computationally-efficient optimization-based controller that ensures the balance of the robot despite these uncertainties. We used the proposed controller in simulation to perform different reaching tasks with the HRP-2 humanoid robot, in the presence of various modeling errors. Comparisons against a standard inverse-dynamics controller through hundreds of simulations show the superiority of the proposed controller in ensuring the robot balance
Zhu, Minglei. "Control-based design of Robots." Thesis, Ecole centrale de Nantes, 2020. http://www.theses.fr/2020ECDN0043.
Full textIt is well -known that parallel robots have a lot of applications in industry for their high stiffness , high payload , can reach higher acceleration and speed . However , because of their complex structure , their control may be troublesome. When high accuracy is needed, the detailed robot model is necessary . However , even detailed models still suffer from the problem of inaccuracy in reality because of robot assembly and manufacturing errors . Sensor - based control approaches have been proven to be more efficient than model-based controllers in terms of accuracy since they overcome the complex robot models and inconsistency errors. Nevertheless, when applying the visual servoing, there are always some problems in the control process , such as the controller singularities . Thus , this thesis proposes proposes a control based design metodology which takes into account the accuracy performance of the controller in the design process to get the geometric parameters of the robot. This thesis applied the control-based design methodology to the optimal design of three types of parallel robots: Five-bar mechanisms , DELTA robots , Gough -Stewart platforms . Three types of controllers are selected in the design process : leg -direction -based visual servoing, line-baesd visual servoing and image moment visual servoing . Design optimization problems are formulated to find the geometric parameters of the robot . Co-simulations are performed to check the accuracy performance of the robots obtained from the optimization. Experiments are performed with two DELTA robot prototypes in order to validate the controller accuracy
Ahmed, Muhammad Rehan. "Compliance Control of Robot Manipulator for Safe Physical Human Robot Interaction." Doctoral thesis, Örebro universitet, Akademin för naturvetenskap och teknik, 2011. http://urn.kb.se/resolve?urn=urn:nbn:se:oru:diva-13986.
Full textKARLSSON, AKMAL, and TARA MOHAMMED-AMIN. "Holonomic Spherical Mobile Robot : Omnidirectional spherical body robot using wireless control." Thesis, KTH, Skolan för industriell teknik och management (ITM), 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-279805.
Full textSyftet med detta projekt var att konstruera en holonomisk robot, vilket kan uppfyllas med hjälp av omnihjul som kan drivas i samtliga riktningar i planet. Den färdiga produkten blev en robot som placerats i en sfärisk kropp som tar in hastighet- och riktningssignaler från en trådlös kommunikationsmodul. Plattformen, som iterativt designades, laserskärdes ur akrylplast. På den placerades omni-hjul drivna av DC-motorer, vilka möjliggjorde den holonomiska rörelsen
Kalyadin, Dmitry. "Robot data and control server for Internet-based training on ground robots." [Tampa, Fla.] : University of South Florida, 2007. http://purl.fcla.edu/usf/dc/et/SFE0002111.
Full textWinter, Pieter Arnoldus. "Position control of a mobile robot /." Link to the online version, 2005. http://hdl.handle.net/10019/1317.
Full textDuchstein, Patrik. "Bluetooth Khepera robot control and communication." Thesis, University of Skövde, School of Humanities and Informatics, 2004. http://urn.kb.se/resolve?urn=urn:nbn:se:his:diva-900.
Full textThis thesis aims to provide a solution for wireless control of, and communication with and among Khepera robots, making use of the Bluetooth wireless technology, to allow wireless control of multiple robots in real time. It is based on the foregoing work of other students who constructed a module for wireless control of Khepera robots over Bluetooth, but they were not able to control more than one physical robot at a time. Khepera robots, as well as many wireless solutions to control those, are closely investigated, and an introduction to Bluetooth is given. An implementation of a Bluetooth protocol stack, which was carried out in the context of this dissertation, and constitutes one of the main parts of this project, is described in detail. The performance of the work discussed throughout this dissertation is evaluated w.r.t. transmission times of data over the wireless link, and afterwards compared to other solutions for real-time control of Khepera robots, e.g. a solution to control a Khepera robot over a wireless radio link. Furthermore, previously simulated experiments with autonomous agents are carried out on physical robots, to test the quality of the wireless solution. It is shown that the solution presented here operates much more efficient than any other existing solution, thus provides a very useful aid for the research community that is experimenting with physical robots in general, and real Khepera robots in particular, in order to simplify research, and allows for a broader spectrum of experiments.
Mosesson, Maria, and Pär Aronssson. "Robot-Assisterad Gradningscell med Force Control." Thesis, KTH, Tillämpad maskinteknik (KTH Södertälje), 2011. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-93962.
Full textHernández, González Francisco. "Planar Robot Arm Modelling and Control." Thesis, Mälardalens högskola, Akademin för innovation, design och teknik, 2012. http://urn.kb.se/resolve?urn=urn:nbn:se:mdh:diva-14883.
Full textKappassov, Zhanat. "Touch driven dexterous robot arm control." Thesis, Paris 6, 2017. http://www.theses.fr/2017PA066085/document.
Full textRobots have improved industry processes, most recognizably in conveyor-belt assemblysystems, and have the potential to bring even more benefits to our society in transportation,exploration of dangerous zones, deep sea or even other planets, health care and inour everyday life. A major barrier to their escape from fenced industrial areas to environmentsco-shared with humans is their poor skills in physical interaction tasks, includingmanipulation of objects. While the dexterity in manipulation is not affected by the blindnessin humans, it dramatically decreases in robots. With no visual perception, robotoperations are limited to static environments, whereas the real world is a highly variantenvironment.In this thesis, we propose a different approach that considers controlling contact betweena robot and the environment during physical interactions. However, current physicalinteraction control approaches are poor in terms of the range of tasks that can beperformed. To allow robots to perform more tasks, we derive tactile features representingdeformations of the mechanically compliant sensing surface of a tactile sensor andincorporate these features to a robot controller via touch-dependent and task-dependenttactile feature mapping matrices.As a first contribution, we show how image processing algorithms can be used todiscover the underlying three dimensional structure of a contact frame between an objectand an array of pressure sensing elements with a mechanically compliant surfaceattached onto a robot arm’s end-effector interacting with this object. These algorithmsobtain as outputs the so-called tactile features. As a second contribution, we design a tactileservoing controller that combines these tactile features with a position/torque controllerof the robot arm. It allows the end-effector of the arm to steer the contact frame ina desired manner by regulating errors in these features. Finally, as a last contribution, weextend this controller by adding a task description layer to address four common issuesin robotics: exploration, manipulation, recognition, and co-manipulation of objects.Throughout this thesis, we make emphasis on developing algorithms that work notonly with simulated robots but also with real ones. Thus, all these contributions havebeen evaluated in experiments conducted with at least one real robot. In general, thiswork aims to provide the robotics community with a unified framework to that will allowrobot arms to be more dexterous and autonomous. Preliminary works are proposedfor extending this framework to perform tasks that involve multicontact control withmultifingered robot hands
Kabganian, Mansour. "Switching adaptive control of robot manipulators." Thesis, University of Ottawa (Canada), 1994. http://hdl.handle.net/10393/10557.
Full textClark, Christopher M. "Neural netowrk algorithms for robot control." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1998. http://www.collectionscanada.ca/obj/s4/f2/dsk1/tape11/PQDD_0007/MQ40965.pdf.
Full textNath, Nitendra. "Nonlinear control techniques for robot manipulators." Connect to this title online, 2006. http://etd.lib.clemson.edu/documents/1173994815/.
Full textKalaycioglu, Banu. "Control of coordinated multiple robot manipulators." Thesis, McGill University, 1991. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=61095.
Full textThe theory of position control for coordinated multiple manipulator is studied. The main objective of this study is to develop a multiple arm load sharing (with minimum norms) position controller. (Abstract shortened by UMI.)
Jacobs, Sean Andrew. "Adaptive control of a climbing robot." Thesis, University of Leeds, 2011. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.534748.
Full textMonteiro, Hugo Alexandre Pereira. "Neuromorphic systems for legged robot control." Thesis, University of Edinburgh, 2013. http://hdl.handle.net/1842/7736.
Full textBekit, Biniam Weldai. "Robust nonlinear control of robot manipulators." Thesis, King's College London (University of London), 2000. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.321945.
Full textNiemeyer, Günter Dieter. "Computational algorithms for adaptive robot control." Thesis, Massachusetts Institute of Technology, 1990. http://hdl.handle.net/1721.1/42187.
Full textTitle as it appeared in MIT Graduate list, February 1990: Computational algorithms for adaptive control.
Includes bibliographical references (leaves 87-91).
by Günter [sic] Dieter Niemeyer.
M.S.
Williamson, Matthew M. (Matthew Murray). "Robot arm control exploiting natural dynamics." Thesis, Massachusetts Institute of Technology, 1999. http://hdl.handle.net/1721.1/16720.
Full textIncludes bibliographical references (p. 143-150).
This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.
by Matthew M. Williamson.
Ph.D.
Winter, Pieter. "Position control of a mobile robot." Thesis, Stellenbosch : University of Stellenbosch, 2005. http://hdl.handle.net/10019.1/1776.
Full textPosition calculation of mobile objects has challenged engineers and designers for years and is still continuing to do so. There are many solutions available today. Probably the best known and most widely used outdoor system today is the Global Positioning System (GPS). There are very little systems available for indoor use. An absolute positioning system was developed for this thesis. It uses a combination of ultrasonic and Radio Frequency (RF) communications to calculate a position fix in doors. Radar techniques were used to ensure robustness and reliability even in noisy environments. A small mobile robot was designed and built to test and illustrate the use of the system.
Chahl, Javaan Singh. "Stratagems for mobile robot navigation using panoramic vision." Phd thesis, 1996. http://hdl.handle.net/1885/145673.
Full text"A rule-based drawing robot." 1999. http://library.cuhk.edu.hk/record=b5890081.
Full textThesis (M.Phil.)--Chinese University of Hong Kong, 1999.
Includes bibliographical references.
Abstracts in English and Chinese.
Acknowledgements --- p.vi
Abstract --- p.1
Chapter 1 --- Introduction
Chapter 1.1 --- Motivation --- p.3
Chapter 1.2 --- Objective --- p.7
Chapter 1.3 --- Outline --- p.9
Chapter 2 --- Color Identification
Chapter 2.1 --- Grabbing --- p.11
Chapter 2.2 --- Digital Image Representation --- p.13
Chapter 2.3 --- Color Segmentation --- p.15
Chapter 2.3.1 --- Fuzzy Rule-Based Method --- p.15
Chapter 2.3.2 --- Fuzzy Clustering Method --- p.20
Chapter 2.4 --- Conclusion --- p.25
Chapter 3 --- Shape Recognition
Chapter 3.1 --- Labeling --- p.29
Chapter 3.1.1 --- Pre-processing --- p.29
Chapter 3.1.2 --- Connected Components --- p.30
Chapter 3.2 --- Blob Analysis --- p.33
Chapter 3.2.1 --- Characteristic Values --- p.33
Chapter 3.2.2 --- Corner Detection --- p.35
Chapter 3.3 --- Type Classification --- p.37
Chapter 3.3.1 --- Standard Blob --- p.37
Chapter 3.3.2 --- Non-standard Object --- p.39
Chapter 3.4 --- Flow Chart --- p.39
Chapter 3.5 --- Point Generation --- p.42
Chapter 3.5.1 --- Draw the Boundary --- p.42
Chapter 3.5.2 --- Filling in Color by Lines --- p.48
Chapter 3.6 --- Conclusion --- p.50
Chapter 4 --- Drawing
Chapter 4.1 --- Difficulties & Remedies --- p.54
Chapter 4.1.1 --- Data Transmission Difficulty --- p.54
Chapter 4.1.2 --- Robot Drawing Plane --- p.56
Chapter 4.2 --- Coordinates Conversion --- p.59
Chapter 4.3 --- Quantitative Performance Measure --- p.64
Chapter 4.4 --- Conclusion --- p.66
Chapter 5 --- Conclusions & Future Works --- p.69
Appendix
Bibliography
Theodore, Rex J. "Dynamic Modeling And Control Analysis Of Multilink Flexible Manipulators." Thesis, 1995. http://etd.iisc.ernet.in/handle/2005/1632.
Full text