Papers

9

Total Citations

134

H-Index

7

About

Marco Crepaldi is a leading researcher at the intersection of neuromorphic engineering, tactile sensing, and unconventional computing. His work focuses on developing event-driven, bio-inspired architectures that dramatically improve the efficiency of sensory systems for humanoid robotics and wearable devices. Crepaldi’s major contributions include pioneering methods for compressing tactile sensor data by encoding only “events” when contact is detected—a technique that optimizes latency and reduces data volume for robotic skin applications (42 citations). He has also designed robust, low-power read-out circuits for capacitive and resistive tactile sensors, fabricated in 130 nm CMOS, enabling scalable, ultra-low-cost interfaces for hand exoskeletons and pressure sensing (over 50 combined citations). More recently, Crepaldi has ventured into novel computing paradigms, experimentally demonstrating in-memory computing in a ferrofluid system (29 citations)—a breakthrough that suggests magnetic fluids could serve as reconfigurable computational substrates. His work is notable for bridging practical hardware design with fundamental explorations of bio-inspired and physical computing, earning recognition for advancing both the engineering and theoretical foundations of next-generation sensory and computing systems.

Research Focus

Key Achievements

7
H-Index
9
Papers
134
Total Citations
15
Avg Citations/Paper
🏆 Most Cited Paper
Event-driven encoding of off-the-shelf tactile sensors for compression and latency optimisation for robotic skin
42 citations · 2017
📈 Most Prolific Year: 2017 (2 Papers)
🤝 Key Collaborators: 22
🏛 Institutions: Italian Institute of Technology, Columbia University, Politecnico di Torino, Space (Italy)

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago