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Heuristic search based inverse kinematics for robotic manipulators: application to redundant robots and visual servoing

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Author(s):
Fabricio Nicolato
Total Authors: 1
Document type: Doctoral Thesis
Press: Campinas, SP.
Institution: Universidade Estadual de Campinas (UNICAMP). Faculdade de Engenharia Elétrica e de Computação
Defense date:
Examining board members:
Marconi Kolm Madrid; João Maurício Rosário; Edson Roberto de Pieri; José Raimundo de Oliveira; Léo Pini Magalhães
Advisor: Marconi Kolm Madrid
Abstract

This thesis deals with the problem of solving the inverse kinematics model of redundant and nonredundant industrial manipulators. The work was developed in a theoretical and a practical part. The problem was approached by an heuristic search method in which the solution of the inverse kinematics is built step by step calculating the movement contribution of just a single joint for each iteration. In that way, the n-dimensional problem is transformed in simpler one-dimensional problems, whose analytic solution for both rotational joints and prismatic joints is presented in terms of the Denavit and Hartenberg representation. The proposed method does not possess internal singularities. Furthermore, the method was expanded to incorporate information of external sensor in order to make the process more robust to uncertainties in the involved modelings. Several results of simulations and comparisons with traditional techniques, which evidence the advantages of the proposed approach, are presented. The work also included the construction of an experimental environment and the implementation of the techniques developed in the theoretical part. The details of a system with a 3-DOF redundant robot as well as its control system, drivers and interfaces using hardware-in-theloop techniques and programmable logic are presented. The developed techniques were applied in the experimental environment are demonstrating their efficiency and evidencing characteristics like: easiness of dealing with redundancies, real time capacity, robustness for parameters uncertainties etc (AU)