AI-Driven Assistive Robotics

The integration of assistive robotics in elderly care offers a transformative solution to aging-related challenges, especially in developing nations. This chapter explores AI-driven innovations that enhance elderly independence by addressing mobility limitations, cognitive decline, and social isolation. Key technologies—such as robotic exoskeletons, automated fall detection systems, and interactive robotic companions—are analyzed for their role in improving well-being and autonomy. AI capabilities like adaptive learning and personalized interaction further tailor these systems to individual needs. Case studies from developing countries reveal measurable gains in safety, independence, and quality of life. However, adoption is hindered by affordability issues, weak infrastructure, low digital literacy, and cultural resistance. The chapter proposes strategies including cost-effective design, culturally aware programming, and collaborative policy frameworks to overcome these barriers. Ethical concerns related to privacy, data security, and emotional impact are also examined. Emphasizing a human-centric model, the study argues that robotics should complement rather than replace caregivers. It recommends community engagement, intergenerational training, and public–private partnerships to ensure sustainable and inclusive elderly care.