C3A: A Cognitive Collaborative Control Architecture For an Intelligent Wheelchair

TL;DR

This paper introduces C3A, a novel cognitive collaborative control architecture designed to provide need-based assistance for wheelchair navigation, aiming to help users retain residual skills through simulation results.

Contribution

The paper presents a new cognitive control architecture for intelligent wheelchairs, integrating simulation results to demonstrate its effectiveness.

Findings

Simulation using ROS and USARSim shows promising results.

C3A effectively supports residual skill retention.

The architecture addresses need-based assistance for wheelchair navigation.

Abstract

Retention of residual skills for persons who partially lose their cognitive or physical ability is of utmost importance. Research is focused on developing systems that provide need-based assistance for retention of such residual skills. This paper describes a novel cognitive collaborative control architecture C3A, designed to address the challenges of developing need- based assistance for wheelchair navigation. Organization of C3A is detailed and results from simulation of the proposed architecture is presented. For simulation of our proposed architecture, we have used ROS (Robot Operating System) as a control framework and a 3D robotic simulator called USARSim (Unified System for Automation and Robot Simulation).