Grace Babalola

About

Grace Babalola is a pioneering researcher at the intersection of healthcare robotics and human-centered artificial intelligence. Her work critically examines how collaborative robots—or "cobots"—can augment nursing practice rather than replace human caregivers, a paradigm shift that has garnered significant attention. Her most cited paper, a 2024 systematic review on collaborative robots for nurses (31 citations), maps the current evidence landscape and argues for designs that free nurses to focus on high-value caregiving. In her equally provocative 2024 paper on cognitively inspired AI, she bridges computer science, cognitive science, and neuroscience to challenge overhyped promises in healthcare robotics, advocating for realistic, human-centered autonomy. Babalola’s contributions are notable for their respectful yet rigorous critique of technological optimism, offering a balanced roadmap for integrating AI into clinical settings. With her work already shaping discourse in the field, she stands out as a thoughtful voice ensuring that healthcare innovation remains anchored in human needs and evidence-based practice.

Research Focus

Key Achievements

Top Papers

1. 1
   A systematic review of collaborative robots for nurses: where are we now, and where is the evidence?

   31 citations · 2024
2. 2
   On the potential for human-centered, cognitively inspired AI to bridge the gap between optimism and reality for autonomous robotics in healthcare: a respectful critique

   2 citations · 2024

Key Collaborators

Contact & Links