Detail publikace
Enhancing the Obstacle Avoidance Capabilities of a Smart Wheelchair
ADÁMEK, R. BUGEJA, M. FABRI, S. GREPL, R.
Anglický název
Enhancing the Obstacle Avoidance Capabilities of a Smart Wheelchair
Typ
článek ve sborníku ve WoS nebo Scopus
Jazyk
en
Originální abstrakt
Smart Wheelchairs (SWC) are vehicles designed specifically for people with certain mobility impairments to alleviate their difficulties in movement and interaction with their surroundings. In this paper, we focus on enhancing the obstacle avoidance capabilities of a SWC previously built at the University of Malta and also propose novel algorithms that can be employed on any other autonomous mobile robot. The improvements include the design, implementation and experimental validation of a novel path planner developed specifically for semi-autonomous movement. In this control mode, the only user input is the desired direction of movement. Our approach combines and improves elements of the Vector Field Histogram + (VFH+) and Dynamic Window Approach (DWA) algorithms. Simulations and physical experiments are used to validate and compare the proposed algorithm. To complement the obstacle avoidance capabilities of the local path planner, a new geometrical method is also presented for the detection of negative obstacles, such as holes and stairs.
Anglický abstrakt
Smart Wheelchairs (SWC) are vehicles designed specifically for people with certain mobility impairments to alleviate their difficulties in movement and interaction with their surroundings. In this paper, we focus on enhancing the obstacle avoidance capabilities of a SWC previously built at the University of Malta and also propose novel algorithms that can be employed on any other autonomous mobile robot. The improvements include the design, implementation and experimental validation of a novel path planner developed specifically for semi-autonomous movement. In this control mode, the only user input is the desired direction of movement. Our approach combines and improves elements of the Vector Field Histogram + (VFH+) and Dynamic Window Approach (DWA) algorithms. Simulations and physical experiments are used to validate and compare the proposed algorithm. To complement the obstacle avoidance capabilities of the local path planner, a new geometrical method is also presented for the detection of negative obstacles, such as holes and stairs.
Klíčová slova anglicky
DWA; obstacle avoidance; semi-autonomous mode; smart wheelchair; VFH+; VFH+DWA
Vydáno
07.12.2022
Nakladatel
Institute of Electrical and Electronics Engineers
Místo
Plzeň
ISBN
978-1-6654-1040-3
Kniha
Proceedings of the 2022 20th International Conference on Mechatronics - Mechatronika (ME)
Počet stran
7
BIBTEX
@inproceedings{BUT182778,
author="Roman {Adámek} and Marvin {Bugeja} and Simon {Fabri} and Robert {Grepl},
title="Enhancing the Obstacle Avoidance Capabilities of a Smart Wheelchair",
booktitle="Proceedings of the 2022 20th International Conference on Mechatronics - Mechatronika (ME)",
year="2022",
month="December",
publisher="Institute of Electrical and Electronics Engineers",
address="Plzeň",
isbn="978-1-6654-1040-3"
}