Charles A. DiMarzio

Northeastern University

Papers

3

Total Citations

13

H-Index

2

About

Dr. Charles A. DiMarzio is pioneering the integration of advanced spectral sensing with autonomous robotics, carving out a new frontier in unstructured environment perception. His research centers on hyperspectral and near-infrared (NIR) spectroscopy, developing novel hardware and algorithms that allow robots to “see” beyond the visible spectrum. DiMarzio’s most impactful work, the *Hyper-Drive* dataset (9 citations), provides the first comprehensive visible-short wave infrared hyperspectral imaging dataset tailored for mobile robots, addressing critical reliability gaps in field deployment. He further advanced the field with *PROSPECT*, a sensorized end effector that fuses NIR spectral signatures with 3D point cloud data for precise material characterization. His latest innovation, *SCANS*, introduces a soft, electronics-free gripper capable of in-hand material differentiation through curvature and spectroscopy sensors—a leap toward tactile spectral intelligence. With a growing citation footprint and a clear trajectory from dataset creation to embodied sensing, DiMarzio is establishing himself as a key architect of the next generation of perceptive, material-aware robots.

Research Focus

Key Achievements

2
H-Index
3
Papers
13
Total Citations
4
Avg Citations/Paper
🏆 Most Cited Paper
Hyper-Drive: Visible-Short Wave Infrared Hyperspectral Imaging Datasets for Robots in Unstructured Environments
9 citations · 2023
📈 Most Prolific Year: 2023 (1 Papers)
🤝 Key Collaborators: 9
🏛 Institutions: Northeastern University

Top Papers

  1. 1
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  3. 3

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 15 days ago