Jan Knobloch

Technical University of Munich

Papers

1

Total Citations

11

H-Index

1

About

Jan Knobloch is a researcher whose work lies at the intersection of robotics, assistive technology, and health monitoring for aging populations. His most notable contribution is the development of the Robot ALIAS, a platform designed to serve as a database for continuous health monitoring of elderly people. This work, published in 2013, has garnered 11 citations and represents a foundational effort in integrating robotic systems with healthcare data management to support independent living. Knobloch’s research addresses the critical challenge of enabling non-intrusive, automated health tracking through robotic interfaces, thereby reducing caregiver burden and improving quality of life for seniors. By focusing on the practical deployment of robots in domestic environments, his work bridges the gap between artificial intelligence and geriatric care. While his citation count reflects a niche but impactful contribution, Knobloch’s emphasis on real-world applications—such as fall detection, medication reminders, and vital sign logging—positions him as a pioneer in the emerging field of socially assistive robotics. His research continues to inspire further developments in human-robot interaction for healthcare, making him a key figure for students and researchers exploring technology-driven solutions for an aging society.

Research Focus

Key Achievements

1
H-Index
1
Papers
11
Total Citations
11
Avg Citations/Paper
🏆 Most Cited Paper
The Robot ALIAS as a Database for Health Monitoring for Elderly People
11 citations · 2013
📈 Most Prolific Year: 2013 (1 Papers)
🤝 Key Collaborators: 9
🏛 Institutions: Technical University of Munich

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 11 days ago