Papers

6

Total Citations

102

H-Index

5

About

Emanuele Baglini is a leading researcher in the intersection of robotics, materials science, and embedded systems, with a primary focus on tactile sensing and artificial skin. His work has been instrumental in developing the hardware and software infrastructure needed to give robots a sense of touch. Baglini’s major contributions include the design of real-time, distributed networking architectures for whole-body tactile sensing in humanoid robots, a challenge that requires balancing bandwidth, robustness, and low-latency communication. He has also pioneered the use of organic electronics, specifically inkjet-printed Organic Thin Film Transistors (OTFTs), to create flexible, bendable, and stretchable tactile transducers for artificial robotic skin. His most cited work, "Design of an embedded networking infrastructure for whole-body tactile sensing in humanoid robots" (30 citations), lays the groundwork for this field. Baglini’s research extends to practical applications, such as developing an integrated tactile sensor system for clothes manipulation and classification using industrial grippers (17 citations). His achievements demonstrate a unique ability to bridge fundamental materials science with real-world robotic systems, making him a key figure in advancing robot dexterity and human-robot interaction.

Research Focus

Key Achievements

5
H-Index
6
Papers
102
Total Citations
17
Avg Citations/Paper
🏆 Most Cited Paper
Design of an embedded networking infrastructure for whole-body tactile sensing in humanoid robots
30 citations · 2010
📈 Most Prolific Year: 2012 (2 Papers)
🤝 Key Collaborators: 12
🏛 Institutions: University of Genoa, Ingegneria dei Sistemi (Italy), Tamedia (Switzerland)

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago