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3 edition of A global approach for using kinematic redundancy to minimize base reactions of manipulators found in the catalog.

A global approach for using kinematic redundancy to minimize base reactions of manipulators

Ching Luan Chung

A global approach for using kinematic redundancy to minimize base reactions of manipulators

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  • 12 Currently reading

Published by Dept. of Mechanical Engineering, Robotics Institute, Carnegie Mellon University, National Aeronautics and Space Administration, National Technical Information Service, distributor in Pittsburgh, Pa, [Washington, DC, Springfield, Va .
Written in English

    Subjects:
  • Redundancy (Engineering),
  • Manipulators (Mechanism)

  • Edition Notes

    StatementC.L. Chung and S. Desa.
    SeriesNASA contractor report -- NASA CR-186825.
    ContributionsDesa, S., United States. National Aeronautics and Space Administration.
    The Physical Object
    FormatMicroform
    Pagination1 v.
    ID Numbers
    Open LibraryOL15397887M

    class of approach is inherited from the control schemes that have been developed for manipulators. Those control schemes have been extended to WMM in order to account for their specificities. Among those approaches, the pioneering work of H. Seraji1 can be distinguished. He proposed an extension of kinematic based control laws to. By using the PI method, the joint velocity θ can have a least-norm solution θ = Jx+ (2) where J + denotes the Moore-Penrose inverse of, J+= T()−1. Obviously, the PI method does not exhaust redundancy to perform optimization research for subtasks. The IK solution, however, cannot always be derived in a straightforward manner as Eq. (2) due. Using a traditional approach to IK, configuration (b) may be selected as the goal. Unfortunately, this blind selection of an IK goal without consideration of its reachability guarantees that the subsequent path planning search will fail. Fig. 4. Two IK solutions (a) and (b) lying in disconnected components of the configuration space. A Unified Approach to Direct Kinematics of Some Reduced Motion Parallel Manipulators Email: [email protected] After discussing the Study point transformation operator, a unified way to formulate kinematic problems, using “points moving on planes or spheres” constraint equations, is in- called FF to indicate base or “fixed.

    Real-time prioritized kinematic control under inequality constraints for redundant manipulators Oussama Kanoun Department of Mechano-Informatics The University of Tokyo, Hongo Bunkyo-Ku, Tokyo , Japan Email: [email protected] Abstract—This paper describes a .


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A global approach for using kinematic redundancy to minimize base reactions of manipulators by Ching Luan Chung Download PDF EPUB FB2

A Global Approach for Using Kinematic Redundancy to Minimize Base Reactions of Manipulators C. Chung and S. Desa CMU-RI-TR Depanment of Mechanical Engineering?he Robotics Institute Camegie MeUon University Pittsburgh, Pennsylvania Manh ID Camegie Mellon University This research has been supported by NASA Lewis Research Center through conat NAG3.

Get this from a library. A global approach for using kinematic redundancy to minimize base reactions of manipulators. [C L Chung; S Desa; United States. National Aeronautics and Space Administration.]. A New Approach for Kinematic Resolution of Redundancy. Motions with minimal base reactions for redundant manipulators.

Then a global optimization method using the interval analysis is. Real-time inverse kinematics of redundant manipulators using neural networks and quadratic programming: A Lyapunov-based approach there exist an infinite number of solutions for the problem of inverse kinematics of redundant manipulators.

The results show the ability of the proposed method to resolve the redundancy using the QP by: Redundancy Resolution for Free-Floating Manipulators Using Kinematic Optimal Control Approach Article (PDF Available) in Journal of Institute of Control 17(8) August with Reads.

In this paper, we present a tentatively comprehensive tutorial report of the most recent literature on kinematic control of redundant robot manipulators. Our goal is to lend some perspective to the most widely adopted on-line instantaneous control solutions, namely those based on the simple manipulator's Jacobian, those based on the local optimization of objective functions in the null space Cited by:   Kinematic Control and Obstacle Avoidance for Redundant Manipulators Using a Recurrent Neural Network Conventional numerical methods implemented in digital computers for obstacle avoidance redundancy resolution calculation could only compute the solution in milliseconds while neural network realized by hardware could complete the computation Cited by: 1.

Introduction. The optimum kinematic design for a 7 degrees-of-freedom (DoF) serial manipulator was proposed by Hollerbach in as an alternative to 6 or less DoF manipulators, which have known difficulties overcoming obstructed workspaces and singularities.

Due to their structural advantages in task performance, or to their human-likeness, 7-DoF serial manipulators are a trending subject with Cited by: m >s,akinematic (motion) redundancy occurs. This is the relevant definition used in the rest of this paper, where a kinematic inversion scheme is used for generating the velocity commands needed to execute a given task.

Clearly, the two redundancy concepts collapse for standard manipulators. Differentiating the relation (1) with respect to. Analysis and Control of Robot Manipulators with Kinematic Redundancy Paperback – January 1, by Pyung H.

Chang (Author) See all formats and editions Hide other formats and editions. Price New from Used from Paperback Author: Pyung H. Chang. Kinematic Control of Redundant Manipulators Using Neural Networks.

Li S, Zhang Y, Jin L. Redundancy resolution is a critical problem in the control of robotic manipulators. Recurrent neural networks (RNNs), as inherently parallel processing models for time-sequence processing, are potentially applicable for the motion control of by: The Need for Kinematic Redundancy In order to perform their assigned tool-handling tasks, NASA's dexterous telerobots will generally have more than six joints operating under simultaneous, coordinated control.

Seven axes are the minimum required in a mechanical manipulator to emulate the basic motions of the human arm, from the shoulder to the File Size: KB. Position-Based Kinematics for 7-DoF Serial Manipulators with Global Con guration Control, Joint Limit and Singularity Avoidance Carlos Fariaa, Flora Ferreirab, Wolfram Erlhagenc, S ergio Monteiroa, Estela Bichoa, aDepartment of Industrial Electronics and Centre Algorithm, University of Minho, Guimar~aesPortugal bCentre Algorithm, University of Minho, Guimar~aesand.

Theory of Base Reaction Minimization 12the base reactions is mapped into a quadratic cost function, using the following measure:CostFunctiom = RTQR ()in which the reaction vector R is given by:R = [f&N&]T—()Here, the vectors j and N1 are the nominal reactions for a given configuration;and Q is a positive definite weighting matrix.

Redundant Manipulators A manipulator is termed kinematically redundant when it possesses more degrees of freedom than it is needed to execute a given task. Redundancy can be conveniently exploited to achieve more dexterous robot motions.

The inverse kinematic problem is of particular interest in this case since it admits infinite solutions. INVERSE KINEMATICS OF REDUNDANT MANIPULATOR expressed as (3) T 07 = Y7 i=1 T i−1,i = n s a p 0 0 0 1 where n∈ ℜ3 is the normal vector of the end-effector in the base coordinate system, s∈ ℜ3 is the sliding vector of the end-effector, a∈ ℜ3 is the approach vector of the end-effector, p= [x, y, z]T is the position vector of the end-effector and T.

The kinematic mapping of certain classes of manipulators (with the geometry herein as-sumed) can be decomposed based on the co–regular surfaces which divide Θ n into a finite number of disjoint, connected regions, C i. The image of each under f is a connected region in the workspace, W i.

We denote the kinematics mapping restricted to C to. dual neural network approach, such as convergence time, archi-tecture complexity, etc., are obtained in the successive studies [14–16].

In [17], a local optimization approach is proposed to resolve the kinematic control problem of redundant manipula-tors.

This approach is applicable to either serial manipulators or. Global Regularization of Inverse Kinematics for Redundant Manipulators map to x E wm is the pre-image of x, denoted by (x).

The differential del has a natural representation given by an m by n Jacobian matrix whose elements consist of the first partial derivatives of I w.r.t. a basis of S as the set of critical points of I. A robot manipulator is a movable chain of links interconnected by joints.

One end is fixed to the ground, and a hand or end effector that can move freely in space is attached at the other end. This book begins with an introduction to the subject of robot manipulators.

Next, it describes in detail a forward and reverse analysis for serial robot arms. kinematic redundancy that have multiple working modes. A schematic representation of a 3-RRR planar parallel manipulator is shown in Figure 1. The manipu-lator has 3-DOF (Degrees Of Freedom); its architecture includes three RRR chains (each one named leg).

Each chain connects the manipulator’s base to the mobile platform in a symmetrical by: 4. Kinematic analysis of manipulators By using the D-H conversation easily calculate the homogeneous transformation matrix and by using this FK equation found.

The D-H conventions uses a product of four basic transformation to represent the homogeneous transformation and denoted by A i. control of the mobile base and the manipulator arm.

It is also noteworthy that extensions of the second approach to dynamic redundancy resolution in fully actuated mobile manipulators have also been examined, in particular to study of the effect of the dynamic interaction between the manipulators and the mobile platform on the task performance [9].

This work addresses the problem of kinematic trajectory planning for mobile manipulators with non-holonomic constraints, and holonomic operational-space tracking constraints. We. A closed-form solution formula for the kinematic control of manipulators with redundancy is derived, using the Lagrangian multiplier method.

Differential relationship equivalent to the Resolved Motion Method has been also derived. The proposed method is proved to provide with the exact equilibrium state for the Resolved Motion Method.

within the workspace of the manipulator can be included. The kinematic redundancy is resolved with respect to quadratic criteria. As the LP problem at hand belongs to the small-size problems, the optimal solution can be found numerically in appropriate time using standard algorithms such as the simplex algorithm or interior point methods.

Approach Outline In this context, this paper presents a multi-level neuro-fuzzy system to minimum-time trajectory planning of a 3-DOF planar redundant manipulator. The best possible robot trajectories can be obtained through a constrained optimal control of full, non linear robot dynamic and kinematic models as well asFile Size: KB.

This chapter covers a number of kinematic performance indices that are instrumental in designing parallel kinematics manipulators. These indices can be used selectively based on manipulator requirements and functionality. This would provide the very practical tool for designers to approach their needs in a very comprehensive : Abdur Rosyid, Bashar El-Khasawneh, Anas Alazzam.

A Review on the Kinematic Simulation and Analyses of Parallel Manipulators Arockia Selvakumar Arockia Doss* singularity and redundancy, they introduced three types of redundancies of a parallel manipulator, in which the the forward kinematics was derived using a vector approach, by considering the individual kinematic chains in a.

Efficient Kinematic Planning for Mobile Manipulators with Non-holonomic Constraints Using Optimal Control Markus Giftthaler, Farbod Farshidian, Timothy Sandy, Lukas Stadelmann and Jonas Buchli Abstract—This work addresses the problem of kinematic tra-jectory planning for mobile manipulators with non-holonomic constraints, and holonomic.

expensive. This study introduces a novel efficient multiple-query based sampling approach for obstacle avoidance, and 2D trajectory planning, for N-DOF robot arms. A MATLAB based motion planner is proposed to investigate this approach for different and diverse types of manipulators, with variousjoint types, and cost : Mahdi F.

Ghajari, Rene V. Mayorga. inverse kinematic solution of industrial robot manipulators. Based on the survey of tools and techniques used for the kinematic analysis the broad objective of the present research work is presented as; to.

Kinematic redundancy of manipulators has been used in control algorithms to avoid singularities, evade obstacles, minimize joint torques, manipulator kinetic energy, end effector contact forces, etc All of these approaches have been associated with rigid manipulators where there are Cited by: 3.

Abstract: This work addresses the problem of kinematic trajectory planning for mobile manipulators with non-holonomic constraints, and holonomic operational-space tracking constraints. We obtain whole-body trajectories and time-varying kinematic feedback controllers by solving a Constrained Sequential Linear Quadratic Optimal Control by: optimum kinematic design for serial link manipulators using simulated annealing based on task specifications [3].

Tang and Wang compared Langrangian and primal-dual neural network for real time joint torque optimization of kinematically redundant manipulators. They used desired acceleration of end-effector as input for a specific task [4].File Size: KB. Manipulators using Computational Mechanics Abstract: This work provides new methods for the kinematic modeling and control of soft, continuum manipulators based on the Finite Element Method.

Contrary to the case of rigid manipulators, soft and continuum manipulators generate their motion by deformation, therefore, the proposed. Kinematic Design of Redundant Robotic Manipulators that are Optimally Fault Tolerant Presented by: Khaled M.

Ben-Gharbia Septmber 8th, Illustrate the di erence between these manipulators in terms of their global fault tolerant properties from the base Kis not a function of 1. for most manipulators due to their nonlinearity of f (). Moreover, the solution is often not unique for kinematically redundant manipulators due to their redundancy.

Making use of the relation between joint ve-locity _ (t) and Cartesian velocity r_ (t) is a common indirect approach Manuscript received April 5, ; revised Aug Two applications of this approach are considered: the relationship between changing pose and singularities for non-redundant manipulators and the homotopy class of redundant manipulator self-motions.

The first relationship has important implications Cited by: 1. sion. To resolve such kinematic indeterminacy from the viewpoint of tasks, one may desire to execute additional tasks.

This approach has already been well-developed in re-dundant kinematics, and it is called the task priority based method (TPBM) [1], [2], [3]. The TPBM has the common feature that it can execute a primary task exactly, and a.

large errors in revolute manipulators from the point view of Euclidean motion group. Our approach is to treat errors using probability densi-ties on the Euclidean group.

Whereas concepts such as integration and convolution of these densities follow in a natural way when considering.The motion of continuum style robots is generated through the bending of the robot over a given section; unlike traditional robots where the motion occurs in discrete locations, i.e.

joints. The motion of continuum manipulators is often compared to that of biological manipulators such as trunks and tentacles.Kinematic redundancy has been used for purposes such as generalized pseudoinverse of the Jacobian matrix so as to minimize a quadratic cost redundant parallel manipulators.

A redundancy resolution method for redundant parallel manipulators has been found in Author: Tansel Sitki Tunç.