Zachary Pezzementi

Johns Hopkins University, Carnegie Mellon University

Papers

10

Total Citations

409

H-Index

7

About

Zachary Pezzementi is a robotics researcher whose work bridges tactile sensing, haptic perception, and off-road autonomy. His most influential contributions lie in tactile object recognition, where he pioneered the use of tactile sensors as imaging devices—treating touch data like visual appearance to enable robust object identification and localization. His 2011 paper on tactile-object recognition from appearance information (144 citations) and related work on tactile geometry mapping (60 citations) established foundational methods for haptic exploration and sensor-based perception. Pezzementi also made significant contributions to medical robotics, investigating how tactile sensors can detect lumps in soft tissue during minimally invasive procedures (85 citations). His work extends to social robotics, including the design of an emotion-driven mobile robot for human interaction (42 citations), and off-road perception, where he co-created the National Robotics Engineering Center agricultural person-detection dataset (35 citations) to address the critical challenge of detecting people in unstructured environments. Across these diverse domains, Pezzementi’s research consistently emphasizes practical, real-world deployment—from surgical assistance to autonomous farming—making his work highly cited and impactful in both academic and applied robotics communities.

Research Focus

Key Achievements

7
H-Index
10
Papers
409
Total Citations
41
Avg Citations/Paper
🏆 Most Cited Paper
Tactile-Object Recognition From Appearance Information
144 citations · 2011
📈 Most Prolific Year: 2011 (3 Papers)
🤝 Key Collaborators: 27
🏛 Institutions: Johns Hopkins University, Carnegie Mellon University

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 15 days ago