Manuel Del Rosario

National University of Singapore

Papers

4

Total Citations

76

H-Index

4

About

Manuel Del Rosario is a robotics researcher whose work bridges soft robotics, mobile robot navigation, and performance metrics for autonomous systems. His most impactful contribution is the development of a reconfigurable pneumatic bending actuator with replaceable inflation modules (59 citations), a landmark design that introduced modularity to soft robotics by using independent fabric inflation modules attached to a flexible plastic spine—enabling rapid repair, customization, and reuse. This work has influenced the field of soft actuators by addressing a key limitation of traditional monolithic designs. Del Rosario has also advanced mobile robotics through a dynamics model for differential drive robots towing off-axle trailers (8 citations) and a human-inspired navigation algorithm for unknown dynamic environments (4 citations), which operates without requiring full obstacle knowledge—a practical step toward safer human-robot interaction. Additionally, he introduced the Pc metric, a performance measure for collision avoidance algorithms (5 citations), providing a standardized tool for evaluating robot safety. His research demonstrates a consistent focus on making robots more adaptable, practical, and quantifiably safe in real-world settings.

Research Focus

Key Achievements

4
H-Index
4
Papers
76
Total Citations
19
Avg Citations/Paper
🏆 Most Cited Paper
A Reconfigurable Pneumatic Bending Actuator with Replaceable Inflation Modules
59 citations · 2018
📈 Most Prolific Year: 2018 (3 Papers)
🤝 Key Collaborators: 6
🏛 Institutions: National University of Singapore

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago