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Compensation for nonlinearities in robot manipulators by on-line learning multilayer neural networks /Lou, Yaolong. January 1999 (has links) (PDF)
Univ., Diss--Wuppertal. / Literaturverz. S. 120 - 124. Nebensacht.: Manipulator control by neural networks.
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Workspaces of continuous robotic manipulatorsThomaschewski, Boris. January 2002 (has links) (PDF)
Ilmenau, Techn. University, Diss., 2002.
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Entwurf und Realisierung eines Beschleunigungssensorsystems auf der Basis von in Silizium integrierter Mikromechanik für die besonderen Anforderungen bei SchwerlasthandhabungssystemenNehrig, Oliver. January 2003 (has links) (PDF)
Essen, Universiẗat, Diss., 2003.
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Analysis of the workspace of tendon based Stewart platformsVerhoeven, Richard. January 2004 (has links) (PDF)
Duisburg, Essen, University, Diss., 2004.
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Minimum energy trajectory planning for robotic manipulatorsField, Glen Arthur 06 May 2015 (has links)
Graduate
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Implementation of dynamic control of a single-link flexible arm using a government micro-computer.Kirkland, Michael 09 1900 (has links)
Approved for public release; distribution is unlimited / Today's demand for a high speed, low weight and large load
capable manipulator has spurred the research on flexible
manipulators. This thesis centers on an implementation of
dynamic control on a single-link flexible arm utilizing a general
purpose micro-computer. This research also studies the dynamic
behavior of the control system with a brief comparison of the
derived flexible-body-model controller to a rigid-body-model
controller. / http://archive.org/details/implementationof00kirk / Lieutenant, United States Navy
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Development of the Carpal Wrist; a Symmetric, Parallel-Architecture Robotic WristCanfield, Stephen L. 21 May 1997 (has links)
This dissertation summarizes the research effort to develop a novel, three degree-of-freedom device that is ideally suited as a robotic wrist or platform manipulator. Because of its similarity to the human wrist, this invention has been named the "Carpal Wrist." Much like its natural counterpart, the Carpal Wrist has eight primary links, corresponding to the eight carpal bones of the human wrist, a parallel actuation scheme, similar to the flexor and extensor carpi muscles along the forearm, and an open interior passage, which forms a protected tunnel for routing hoses and electrical cables, much like the well-known carpal tunnel. The Carpal Wrist also has the significant advantages of possessing closed-form forward and inverse kinematic solutions and a large, dexterous workspace that is free of interior singularities (either considered separately or as part of a manipulator arm). As a result of its symmetric parallel architecture, the Wrist can handle a large payload capacity and can easily be adapted to a variety of actuation schemes. While parallel-architecture manipulators have long been recognized for their high-rigidity and large payload-to-weight capacity, few have been developed for application, primarily because of complications in kinematic and dynamic modeling. The mathematical model of any manipulator must be developed in order to allow the necessary motion control of the device. The mathematical model provides a mapping from the input space (called joint space) to the output space (called tool space) of the manipulator. Given a desired task in terms of motion of the robot tool, the mathematical model determines the required motor input parameters. Advanced manipulator performance through automatic control becomes possible when the model includes inertial or dynamic effects of the manipulator and tool. The research leading to the development of the Carpal Wrist is significant because it presents a complete kinematic and dynamic model of a parallel-architecture manipulator, and thus will provide significant improvement over current serial robot technology. This research was funded in part by TRIAD Investors Corporation (University Partners), Baltimore MD. / Ph. D.
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Kinematic control of redundant knuckle boomsLöfgren, Björn January 2004 (has links)
<p>A kinematically redundant four degrees of freedommanipulator arm, a knuckle boom, is studied. Three joints arerevolute and one linear. Since only three degrees of freedomare needed for positioning, we have one redundant degree offreedom. Three different kinematic control strategies arestudied. One is based on the maximization of velocity (localoptimisation). This strategy is non-repeatable and cansometimes lead to kinematically unfavourable positions. In thesecond strategy, which is based on the maximization of staticlifting capacity (local optimisation), one of the degrees offreedom (the linear joint) is made a function of the toolcentre point position. The third strategy, which is based ondynamic programming (global optimization), calculates theshortest time that is possible for the tool centre point to gofrom one point to another point in the working area. The threestrategies are compared in a simulation study. The simulationsshow the necessary speed requirements for all joints whenperforming straight paths in the manipulator work area. Thesimulations also show the difference in time consumptionsbetween the three control algorithms and also what happens whenthe joints reach their maximum velocity limits.</p><p><strong>Keywords</strong>Manipulator, Kinematic Control, RedundantLanguage</p>
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A Modular, Behaviour-Based Hierarchical Controller For Mobile ManipulatorsGong, Kelvin January 2013 (has links)
A mobile manipulator is a robotic system consisting of a robotic manipulator mounted
onto a mobile base. This greatly extends the workspace of the robotic manipulator
and allows it to perform more tasks. However, combining both systems increases the
complexity of the control task as well as introducing additional controller tasks such
as coordination of motion, where executing the task can involve using both the mobile
base and manipulator, and cooperation of task, where many tasks can be executed at
once.
In this thesis a controller for a mobile manipulator is developed from smaller,
simple controller blocks, allowing the controller to be flexible, easy to understand,
and straightforward to implement using well-known embedded software implementation
approaches. A behaviour-based approach was used to build the individual controllers,
and a hierarchical structure was used to organise the individual controllers to provide
cooperation between them and coordinated motion.
The task assigned to the controller was to reach a series of waypoints in a large
workspace, while satisfying performance metrics of manipulability and tip-over sta-
bility. The operation of the controller was tested in simulation using 100 randomly
generated scenarios consisting of five randomly generated waypoints in each. Using
default thresholds for manipulability and tip-over stability, the controller was success-
fully able to complete all scenarios. Further simulations were then performed testing
the effects of varying the thresholds of the performance metrics to explore the tradeoffs
involved in different parameter choices. The controller was successful in a majority of
these scenarios, with only a few failing due to extreme threshold choices. The reasons
for these failures, and the corresponding lessons for robot designers are discussed.
Finally, to demonstrate the modularity of the controller, an obstacle avoidance con-
troller was added and simulation results showed the controller was capable of avoiding
obstacles while still performing the same tasks that were used in previous tests.
Successful simulation results of the controller across a range of performance metrics
shows that the combination of a behaviour based and hierarchical approach to mobile
manipulator control is not only capable of producing a functional controller, but also
one that is more modular and easier to understand than the monolithic controllers
developed by other researchers.
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Perturbation techniques in the dynamics and control of flexible manipulatorsFraser, Anthony January 1988 (has links)
No description available.
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