Megan Biondo

Lindenwood University

Papers

1

Total Citations

12

H-Index

1

About

Megan Biondo is a researcher whose work sits at the intersection of human-robot interaction and assistive technology, with a particular focus on eldercare robotics. Her most-cited paper, "Android-based speech processing for eldercare robotics" (2013, 12 citations), addresses a pressing societal challenge: the growing elderly population and the need for innovative, accessible care solutions. In this work, Biondo developed an intuitive interface that leverages built-in Android speech recognition to control a mobile robot, enabling natural voice commands for daily assistance tasks. This contribution is notable for its practical, low-cost approach to making home robots more usable for older adults, bridging the gap between advanced robotics and real-world caregiving needs. While her citation count reflects the emerging nature of this field, Biondo’s work demonstrates a clear commitment to designing technology that is both functional and empathetic. Her research offers a compelling example of how off-the-shelf consumer devices can be repurposed to create meaningful human-robot interactions, making her a thoughtful voice in the development of assistive technologies for aging populations.

Research Focus

Key Achievements

1
H-Index
1
Papers
12
Total Citations
12
Avg Citations/Paper
🏆 Most Cited Paper
Android-based speech processing for eldercare robotics
12 citations · 2013
📈 Most Prolific Year: 2013 (1 Papers)
🤝 Key Collaborators: 3
🏛 Institutions: Lindenwood University

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago