Analytical solution of a five-degree-of-freedom inverse kinematics problem for the handling mechanism of an agricultural robot

Author(s):  
Sinem Gozde Defterli ◽  
Yunjun Xu
Robotica ◽  
2005 ◽  
Vol 23 (1) ◽  
pp. 123-129 ◽  
Author(s):  
John Q. Gan ◽  
Eimei Oyama ◽  
Eric M. Rosales ◽  
Huosheng Hu

For robotic manipulators that are redundant or with high degrees of freedom (dof), an analytical solution to the inverse kinematics is very difficult or impossible. Pioneer 2 robotic arm (P2Arm) is a recently developed and widely used 5-dof manipulator. There is no effective solution to its inverse kinematics to date. This paper presents a first complete analytical solution to the inverse kinematics of the P2Arm, which makes it possible to control the arm to any reachable position in an unstructured environment. The strategies developed in this paper could also be useful for solving the inverse kinematics problem of other types of robotic arms.


Robotics ◽  
2021 ◽  
Vol 10 (4) ◽  
pp. 127
Author(s):  
Aryslan Malik ◽  
Troy Henderson ◽  
Richard Prazenica

This work is aimed to demonstrate a multi-objective joint trajectory generation algorithm for a 7 degree of freedom (DoF) robotic manipulator using swarm intelligence (SI)—product of exponentials (PoE) combination. Given a priori knowledge of the end-effector Cartesian trajectory and obstacles in the workspace, the inverse kinematics problem is tackled by SI-PoE subject to multiple constraints. The algorithm is designed to satisfy finite jerk constraint on end-effector, avoid obstacles, and minimize control effort while tracking the Cartesian trajectory. The SI-PoE algorithm is compared with conventional inverse kinematics algorithms and standard particle swarm optimization (PSO). The joint trajectories produced by SI-PoE are experimentally tested on Sawyer 7 DoF robotic arm, and the resulting torque trajectories are compared.


2012 ◽  
Vol 220-223 ◽  
pp. 1977-1981
Author(s):  
Bing Hui Fan ◽  
Peng Ji ◽  
Jian Gong Li

In order to make prosthetic work in unstructured environments in real time to solve the inverse kinematics problem, the coordinates of the location of the end of the workspace of the manipulator rod needed to know. The spatial orientation value of random object relative to prosthesis basic coordinates be calculated in real time is realized in the embedded system by means of two three-dimensional attitude sensors and one laser ranging sensor.This method can provide the necessary raw information for the multiple degree of freedom prosthesis which works in an unstructured environment to complete the operational tasks assigned.


2004 ◽  
Vol 126 (5) ◽  
pp. 813-821 ◽  
Author(s):  
Sung K. Koh ◽  
G. K. Ananthasuresh

A sequence of rotations considered in this paper is a series of rotations of an untethered rigid body about its body-fixed axes such that the rotation about each axis is fully reversed at the end of the sequence. Due to the noncommutative property of finite rigid body rotations, such a sequence can effect nonzero changes in the orientation of the rigid body even though the net rotation about each axis is zero. These sequences are useful for attitude maneuvers of miniature spacecraft that use elastic deformation-based microactuators, or of other airborne or neutrally buoyant underwater vehicles. This paper considers the inverse kinematics problem of determining the angles in a given sequence to achieve a desired change in the orientation. Two types of problems are addressed. For the first problem, where four-rotation sequences are used, an analytical solution is presented and it is shown that a pointing vector attached to the rigid-body can be arbitrarily oriented. In the second problem, six-rotation sequences are used to control all three of the orientation freedoms of the rigid body. Some of the six-rotation sequences can provide any change in orientation while others are limited in their capabilities. A general numerical solution for all types, and a closed-form analytical solution for one type are presented along with the numerical examples and graphical visualization.


2013 ◽  
Vol 391 ◽  
pp. 114-117
Author(s):  
Run Sheng Hao

In this paper, the second order recurrent neural network is adopted to study the inverse kinematics problem of three degree-of-freedom planar redundant manipulators. The Simulation results show that the network can effectively solve the inverse kinematics problem of redundant manipulators, and it reaches to good precision of solution and solving speed.


2021 ◽  
pp. 1-13
Author(s):  
Louis-Thomas Schreiber ◽  
Clement Gosselin

Abstract This paper introduces a classification of the inverse kinematics solutions (or robot postures) of six-degree-of-freedom serial robots with a geometry based on or similar to Universal Robots' arms. The solution of the inverse kinematics problem is first presented briefly and the equations required to classify the robot postures(branches) based on the joint coordinates are then introduced.


Robotica ◽  
2018 ◽  
Vol 37 (7) ◽  
pp. 1240-1266 ◽  
Author(s):  
Abhilash Nayak ◽  
Stéphane Caro ◽  
Philippe Wenger

SUMMARYThis paper deals with the kinematic analysis and enumeration of singularities of the six degree-of-freedom 3-RPS-3-SPR series–parallel manipulator (S–PM). The characteristic tetrahedron of the S–PM is established, whose degeneracy is bijectively mapped to the serial singularities of the S–PM. Study parametrization is used to determine six independent parameters that characterize the S–PM and the direct kinematics problem is solved by mapping the transformation matrix between the base and the end-effector to a point in ℙ7. The inverse kinematics problem of the 3-RPS-3-SPR S–PM amounts to find the location of three points on three lines. This problem leads to a minimal octic univariate polynomial with four quadratic factors.


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