arXiv Open Access 2023

Sandwich Approach for Motion Planning and Control

Mohamadreza Ramezani Hossein Rastgoftar
Lihat Sumber

Abstrak

This paper develops a new approach for robot motion planning and control in obstacle-laden environments that is inspired by fundamentals of fluid mechanics. For motion planning, we propose a novel transformation between motion space, with arbitrary obstacles of random sizes and shapes, and an obstacle-free planning space with geodesically-varying distances and constrained transitions. We then obtain robot desired trajectory by A* searching over a uniform grid distributed over the planning space. We show that implementing the A* search over the planning space can generate shorter paths when compared to the existing A* searching over the motion space. For trajectory tracking, we propose an MPC-based trajectory tracking control, with linear equality and inequality safety constraints, enforcing the safety requirements of planning and control.

Topik & Kata Kunci

Penulis (2)

M

Mohamadreza Ramezani

H

Hossein Rastgoftar

Format Sitasi

Ramezani, M., Rastgoftar, H. (2023). Sandwich Approach for Motion Planning and Control. https://arxiv.org/abs/2309.16874

Akses Cepat

Lihat di Sumber
Informasi Jurnal
Tahun Terbit
2023
Bahasa
en
Sumber Database
arXiv
Akses
Open Access ✓