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Path planning optimization of six-degree-of-freedom robotic manipulators using evolutionary algorithms
| Content Provider | SAGE Publishing |
|---|---|
| Author | Šegota, Sandi Baressi Anđelić, Nikola Lorencin, Ivan Saga, Milan Car, Zlatan |
| Copyright Year | 2020 |
| Abstract | Lowering joint torques of a robotic manipulator enables lowering the energy it uses as well as increase in the longevity of the robotic manipulator. This article proposes the use of evolutionary computation algorithms for optimizing the paths of the robotic manipulator with the goal of lowering the joint torques. The robotic manipulator used for optimization is modelled after a realistic six-degree-of-freedom robotic manipulator. Two cases are observed and these are a single robotic manipulator carrying a weight in a point-to-point trajectory and two robotic manipulators cooperating and moving the same weight along a calculated point-to-point trajectory. The article describes the process used for determining the kinematic properties using Denavit–Hartenberg method and the dynamic equations of the robotic manipulator using Lagrange–Euler and Newton–Euler algorithms. Then, the description of used artificial intelligence optimization algorithms is given – genetic algorithm using random and average recombination, simulated annealing using linear and geometric cooling strategy and differential evolution. The methods are compared and the results show that the genetic algorithm provides best results in regard to torque minimization, with differential evolution also providing comparatively good results and simulated annealing giving the comparatively weakest results while providing smoother torque curves. |
| Related Links | https://journals.sagepub.com/doi/pdf/10.1177/1729881420908076?download=true |
| ISSN | 17298806 |
| Issue Number | 2 |
| Volume Number | 17 |
| Journal | International Journal of Advanced Robotic Systems (ARX) |
| e-ISSN | 17298814 |
| DOI | 10.1177/1729881420908076 |
| Language | English |
| Publisher | Sage Publications UK |
| Publisher Date | 2020-03-20 |
| Publisher Place | London |
| Access Restriction | Open |
| Rights Holder | © The Author(s) 2020 |
| Subject Keyword | simulated annealing cooperating robotic manipulators Artificial intelligence genetic algorithm robot trajectory planning differential evolution |
| Content Type | Text |
| Resource Type | Article |
| Subject | Artificial Intelligence Computer Science Applications Software |
