A Social Robot, “Dali,” for Aging in Place Technology

Abstract EN

Healthcare has a trend of going hi-tech.

With an aging population growing more than ever, researchers and health care providers are now relying on robots to ease the symptoms of dementia and help an aging population stay where they would like, at home.

Several therapeutic robots such as Paro recently introduced in the markets are manifestation of such trends.

In this paper, we propose a social robot missioned to autonomously capture images of people and feed multimedia contents to a social network or to a hospital for various social activities or for health monitoring purpose.

The main technical barriers of such robots include autonomous navigation, human face detection, distance, and angle adjustment for clean and better shots.

To that end, we study autonomous mapping/navigation as well as optimal image capturing technology via motion planning and visual servoing.

To overcome the mapping and navigation at a crowded environment, we use the potential field path planning harnessed with two competitive potential update techniques.

The robot is an agent navigating in a potential field where detected environmental significances provide sources of attractive forces, while previously occupied locations estimated by SLAM technique provide sources of repelling forces.

We also study visual servo technique to optimize image capturing processes.

This includes facial recognition, photographic distance/angle adjustment, and backlight avoidance.

We tested several scenarios with the assembled robot for its usefulness.