Task-oriented optimal dimensional synthesis of robotic manipulators with limited mobility

In this article, an optimization method is proposed for the dimensional synthesis of robotic manipulators with limited mobility, i.e. with less than 6 degrees-of-freedom (DoF), with a prescribed set of tasks in a constrained environment. Since these manipulators cannot achieve full 6-DoF mobility, they are able to follow only certain paths with prescribed position and orientation in space. While the most common approach to this problem employs pure path-planning algorithms, operations in narrow and complex environments might require changes to the robot design too. For this reason, this paper presents an improved approach which aims to minimize position and orientation error with a dimensional synthesis. First, a novel methodology that combines a path planning algorithm and dimensional synthesis has been proposed in order to optimize both robot geometry and pose for a given set of points. Then, the method is validated with a 4-DoF robot for high-precision laser operations in aeroengines as a case study. The example shows that the proposed procedure provides a stable algorithm with a high convergence rate and a short time to solution for robots with limited mobility in highly constrained scenarios.

Automated summary

This article proposes an optimization method for dimensional synthesis of robotic manipulators with limited mobility, aiming to minimize position and orientation error by combining path planning algorithms and dimensional synthesis. The method has been validated with a case study of a 4-DoF robot for high-precision laser operations in aeroengines, showing stable algorithm performance with high convergence rate and short time to solution in highly constrained scenarios.