An Efficient Solution to Optimal Motion Planning With Provable Safety and Convergence

Panagiotis Rousseas, Charalampos Bechlioulis, Kostas Kyriakopoulos

Research output: Contribution to journalArticlepeer-review

Abstract

An innovative solution to the optimal motion planning problem is presented in this work. A novel parametrized actor structure is proposed, which guarantees safe and convergent navigation by construction. Concurrently, an efficient scheme for optimizing a mixed state and energy cost function is formulated. The proposed method inherits the positive traits of continuous methods, while at the same time providing sub-optimal -but close to optimal- results significantly faster and in more complex workspaces than previous ones. The scheme is demonstrated to outperform established relevant methods, while at the same time being competitive w.r.t. execution time. Extensive simulations to validate the effectiveness of the method are presented, along with relevant technical proofs for safety and convergence.

Original languageEnglish (US)
Pages (from-to)143-157
Number of pages15
JournalIEEE Open Journal of Control Systems
Volume3
DOIs
StatePublished - 2024

Keywords

  • Optimal motion planning
  • optimization and optimal control

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Mechanical Engineering
  • Computer Vision and Pattern Recognition
  • Human-Computer Interaction

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