Project Abstract

Intelligent Robotics: A Mobile Robot for People Assistance The motivation for this research stems from the growing demand for assistive technologies to support aging populations and individuals with mobility challenges, aiming to enhance independence and reduce caregiver burden. This work addresses a critical gap by focusing on real-world adaptability and safety in dynamic environments like hospitals and homes. The proposition of this research lies in developing a quadruped mobile robot that uniquely integrates human-tracking algorithms and adaptive behaviors to respond to triggers, such as detecting a person needing medicine or attention. The main aim is to create a robust, responsive robot capable of navigating unstructured environments while performing basic tasks like object carrying. The methodology employs a waterfall development model, utilizing C for real-time control and OpenCV with YOLO for person detection. The robot, based on the Freenove quadruped design, will communicate via Wi-Fi and adapt its movements to environmental conditions. Key findings, though preliminary, are expected to demonstrate successful person tracking, obstacle avoidance, and user interaction, validated through simulation and real-world testing. The project aims to produce a functional prototype with efficient power management and safety protocols. In conclusion, this research contributes a practical solution for assistive robotics, advancing the field by addressing challenges like power consumption, real-time processing, and environmental adaptability. If successful, the project will provide insights into the feasibility of quadruped robots in caregiving, offering a foundation for future innovations in intelligent robotics.

Keywords: Computer Science, Artificial Intelligence, Intelligent Robotics

 Conference Details

Session: A

Location: Sir Stanley Clarke Auditorium at 11:00 13:00

Markers: Daniele Cafolla, John Tucker

Course: BSc Computer Science 3yr FT

Future Plans: I’m continuing studies