Navigation with care: the ASPiDA assistive robot

As the world’s population ages, there is an increasing demand for intelligent systems that can facilitate individuals’ independence while ensuring their safety. Assistive robotics has emerged as a viable tool in this context, providing personalized help and autonomy. This paper presents the design and implementation of the ASPiDA assisted living robot tailored to the fall detection challenge. By leveraging robust SLAM, human-aware navigation and fall detection algorithms, we aim to present a safe and effective, real-time and comprehensive robotic strategy to detect and act in fall detection events. A developed robotic platform is demonstrated and assessed in practical assisted living scenarios.

Katerina Maria Oikonomou, Ioannis Tsampikos Papapetros, Ioannis Kansizoglou, Georgios Ch. Sirakoulis, Antonios Gasteratos