Multiple obstacle avoidance of four-wheeled vehicle with steering limitation using nondifferentiable control Lyapunov function

Controlling a mobile robot in a space with obstacles is a well-known problem in robotics. The control objective is for the mobile robot to reach a goal point with obstacle avoidance. In this paper, we specially consider the multiple obstacle avoidance problem for particularly a four-wheeled vehicle. Assuming that the shapes and locations of the obstacles are known, we propose a design method of a nondifferentiable navigation function, which guides a vehicle at the desired point. The control law for the four-wheeled vehicle is obtained from the extended function of the navigation function. As four-wheeled vehicles cannot move sideways because of their nonholonomic constraint, the proposed control law addresses this difficulty by considering a decrease in the control Lyapunov function, and can be applied to vehicles with steering limitations. Moreover, the control law makes it possible for the vehicles to achieve an -point turn automatically without the need for any rule-based decision-making or heuristic method. The four-wheeled vehicle can reach the goal point from any initial point under the proposed control law. Our experimental results with a small four-wheeled vehicle are presented at the end of this paper.

Tags
Data and Resources
To access the resources you must log in

This item has no data

Identity

Description: The Identity category includes attributes that support the identification of the resource.

Field Value
PID https://www.doi.org/10.6084/m9.figshare.1579462
PID https://www.doi.org/10.6084/m9.figshare.1579462.v1
URL https://figshare.com/articles/Multiple_obstacle_avoidance_of_four_wheeled_vehicle_with_steering_limitation_using_nondifferentiable_control_Lyapunov_function/1579462
URL http://dx.doi.org/10.6084/m9.figshare.1579462
URL https://dx.doi.org/10.6084/m9.figshare.1579462.v1
URL http://dx.doi.org/10.6084/m9.figshare.1579462.v1
URL https://dx.doi.org/10.6084/m9.figshare.1579462
Access Modality

Description: The Access Modality category includes attributes that report the modality of exploitation of the resource.

Field Value
Access Right Open Access
Attribution

Description: Authorships and contributors

Field Value
Author Nonaka, Ryo
Author Yamashita, Yuh
Author Tsubakino, Daisuke
Publishing

Description: Attributes about the publishing venue (e.g. journal) and deposit location (e.g. repository)

Field Value
Collected From Datacite; figshare
Hosted By figshare
Publication Date 2015-01-01
Publisher Taylor & Francis
Additional Info
Field Value
Language Undetermined
Resource Type Dataset
keyword FOS: Mathematics
keyword FOS: Health sciences
keyword FOS: Biological sciences
system:type dataset
Management Info
Field Value
Source https://science-innovation-policy.openaire.eu/search/dataset?datasetId=dedup_wf_001::3495a0696dddc125a77d9d4122bf97d0
Author jsonws_user
Last Updated 14 January 2021, 12:52 (CET)
Created 14 January 2021, 12:52 (CET)