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Optimization of collision-free paths in a differential-drive robot by a smoothing piecewise-linear approach

Journal Article · · Computational and Applied Mathematics
; ;  [1]
  1. Universidad Veracruzana, Electronics and Computational Engineering, Modeling and Simulation Research Group, Facultad de Instrumentación Electrónica (Mexico)

This paper presents a methodology for optimizing pre-calculated collision-free paths of differential-drive wheeled robots. The main advantage of this methodology is that optimization is done by considering the kinematics and mechanical constraints of the mobile robot. In accordance to this proposal, the optimized path is achieved by applying recursively a local smoothing on an initial path which is originally modeled as a one-dimensional piecewise linear function. By this recursive smoothing, it can be ensured that the original piecewise linear function can be transformed into a smooth one that fulfill the constraints established by the kinematic equations of the wheeled mobile in terms of a minimum radius of curvature. As a result of this, a trajectory which guarantees lower power consumption and lower mechanical wear, is obtained. To show the better performance of the proposed approach, numerical simulation results are contrasted to those obtained from other reported methods with regards to path length, minimum radius of curvature, cross track error, continuity and resulting acceleration.

OSTI ID:
22769222
Journal Information:
Computational and Applied Mathematics, Journal Name: Computational and Applied Mathematics Journal Issue: 4 Vol. 37; ISSN 0101-8205
Country of Publication:
United States
Language:
English

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