Self-motion graph in path planning for redundant robots along specified end-effector paths

Author(s):  
Zhenwang Yao ◽  
K. Gupta
1986 ◽  
Vol 108 (3) ◽  
pp. 213-218 ◽  
Author(s):  
B. Benhabib ◽  
A. A. Goldenberg ◽  
R. G. Fenton

The paper addresses the problem of end effector trajectory planning and control of seven degrees of freedom (DOF) kinematically redundant robots. An off-line optimal continuous path planning method is developed for on-line control at joint level. The specified end effector path is approximated by a set of location nodes selected on the desired path. The motion control of the robot is provided by cubic polynomial interpolation at joint level. The proposed approach to trajectory planning of kinematically redundant robots consists of obtaining an optimal set of nodes which guarantees minimum deviation from the desired Cartesian path. The redundant DOF of the robot is used as a constrained variable in the optimization search. The method is illustrated in an example.


2013 ◽  
Vol 5 (4) ◽  
Author(s):  
Tongxiao Zhang ◽  
Mamoru Minami ◽  
Osami Yasukura ◽  
Wei Song

This paper is concerned with a concept of reconfiguration manipulability inspired from manipulability. The reconfiguration manipulability represents a shape-changeability of each intermediate link when a prior end-effector task is given. Through analyses of reconfiguration matrices, we propose a method to judge whether the plural shape-changing subtasks can be executed simultaneously or not. Then the sufficient conditions guaranteeing sustainability of reconfiguration manipulability space are presented, which are the conditions for keeping the reconfiguration manipulability as high as possible under the prior end-effector task. Further, we confirm the proposed analyses can be useful practically for evaluating the realistic manipulator's configurations and structures.


2016 ◽  
Vol 17 (12) ◽  
pp. 1703-1709 ◽  
Author(s):  
Quoc Cuong Nguyen ◽  
Youngjun Kim ◽  
Sehyung Park ◽  
HyukDong Kwon

Author(s):  
V. C. Ravi ◽  
Subrata Rakshit ◽  
Ashitava Ghosal

Hyper-redundant robots are characterized by the presence of a large number of actuated joints, many more than the number required to perform a given task. These robots have been proposed and used for many application involving avoiding obstacles or, in general, to provide enhanced dexterity in performing tasks. Making effective use of the extra degrees of freedom or resolution of redundancy have been an extensive topic of research and several methods have been proposed in literature. In this paper, we compare three known methods and show that an algorithm based on a classical curve called the tractrix leads to a more ‘natural’ motion of the hyper-redundant robot with the displacements diminishing from the end-effector to the fixed base. In addition, since the actuators at the base ‘see’ the inertia of all links, smaller motion of the actuators nearer to the base results in a smoother motion of the end-effector as compared to other two approaches. We present simulation and experimental results performed on a prototype eight link planar hyper-redundant manipulator.


Author(s):  
B. Moore ◽  
E. Oztop

Our overall research interest is in synthesizing human like reaching and grasping using anthropomorphic robot hand-arm systems, as well as understanding the principles underlying human control of these actions. When one needs to define the control and task requirements in the Cartesian space, the problem of inverse kinematics needs to be solved. For non-redundant manipulators, a desired end-effector position and orientation can be achieved by a finite number of solutions. For redundant manipulators however, there are in general infinitely many solutions where the cardinality of the solution set must be made finite by imposing certain constraints. In this paper, we consider the Mitsubishi PA10 manipulator which is similar to the human arm, in the sense that both wrist and shoulder joints can be considered to emulate a 3DOF ball joint. We explicitly derive the analytic solution for the inverse kinematics using quaternions. Then, we derive a parameterization in terms of a pure quaternion called the swivel quaternion. The swivel quaternion is similar to the elbow swivel angle used in most approaches, but avoid the computation of inverse trigonometric functions. This parameterization of the self-motion manifold is continuous with any end-effector motion. Given the pose of the end-effector and the swivel quaternion (or swivel angle), the algorithm derives all solution of the inverse kinematics (finite number). We then show how the parameterization of the elbow self-motion can be used for the real-time control of the PA10 manipulator in the presence of obstacles.


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