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Assistive technology: autonomous wheelchair in obstacle-ridden environment
Sandeep Ameet Kumar1, Jito Vanualailai1, Avinesh Prasad1
1School of Information Technology, Engineering, Mathematics, and Physics, The University of the South Pacific, Suva, Fiji.
Peerj. Computer Science
|November 22, 2021
Summary
This study introduces new controllers for autonomous wheelchairs, enhancing navigation safety and efficiency for persons with disabilities (PWD). These advancements promote social and economic inclusion through improved assistive technology.
Area of Science:
- Robotics
- Control Systems
- Assistive Technology
Background:
- Assistive technology, particularly autonomous wheelchairs, is crucial for the social and economic inclusion of persons with disabilities (PWD).
- Safe and efficient navigation in complex environments remains a key challenge for autonomous mobility devices.
Purpose of the Study:
- To present novel nonlinear time-invariant stabilizing controllers for autonomous nonholonomic wheelchairs.
- To ensure safe navigation, robust obstacle avoidance, and adherence to system dynamics in obstacle-ridden environments.
Main Methods:
- Development of velocity-based controllers derived from a Lyapunov function using the Lyapunov-based Control Scheme (LbCS).
- Application of the artificial potential field method with a focus on safety, shortness, and smoothness in motion planning.
- Proof of system stability using the Direct Method of Lyapunov.
Main Results:
- The proposed controllers demonstrate effectiveness in safe navigation and obstacle avoidance for autonomous wheelchairs.
- The Lyapunov-based Control Scheme ensures cost and time effectiveness through optimized motion planning.
- Computer simulations validate the efficiency and stability of the developed control system.
Conclusions:
- The new controllers significantly enhance the capabilities of autonomous wheelchairs, contributing to improved accessibility for PWD.
- This research advances assistive technology, fostering greater social and economic inclusion for individuals with mobility challenges.
- The LbCS approach offers a robust framework for developing efficient and safe autonomous systems.

