A Smart Robotic Walker With Intelligent Close-Proximity Interaction Capabilities for Elderly Mobility Safety

Area of Science:

• Robotics
• Gerontology
• Human-Computer Interaction

Background:

• The growing elderly population requires advanced assistive devices, particularly for individuals with mobility impairments.
• Current assistive walkers for seniors lack sophisticated interactivity and intelligent features.
• There is a significant demand for improved indoor walking aids that enhance safety and independence.

Purpose of the Study:

• To develop a novel smart robotic walker designed as a convenient indoor walking aid for the elderly.
• To integrate multiple interaction modes (voice, gait, haptic touch) for enhanced user experience.
• To implement intelligent control algorithms for improved mobility safety and reliability.

Main Methods:

• A hybrid approach combining a conventional mobile robotic platform with a rollator design.
• User tracking via lower limb gait detection for close-proximity safety support.
• Emergency event prediction (e.g., falls) using a soft-robotic interface on the handle to monitor force pressure.
• Reinforcement learning-based sound source localization for voice-activated navigation.

Main Results:

• Demonstrated a sturdy mechanical structure and reliable novel interaction modes.
• Validated the efficiency of implemented intelligent control algorithms.
• Confirmed the walker's ability to track users, predict falls, and navigate via voice commands.

Conclusions:

• The proposed smart robotic walker offers a flexible, initiative, and reliable solution for elderly mobility assistance.
• The integration of advanced sensing and learning-based control enhances user safety and interaction.
• This innovative device addresses the limitations of current assistive walkers, paving the way for smarter elderly care solutions.