Martin Laurenzis
Papers
4
Total Citations
16
H-Index
2
About
Martin Laurenzis is a leading researcher at the forefront of non-line-of-sight (NLOS) imaging and advanced optical sensing. His work fundamentally explores how light can be used to see around corners and detect touch, bridging the gap between computational imaging and tactile robotics. Laurenzis is best known for pioneering the concept of using shadows to peer around hidden objects, a breakthrough that demonstrated how indirect light paths can reveal scenes outside direct view. More recently, he has introduced "OptoSkin," a novel LIDAR touch sensor that leverages direct time-of-flight (dToF) measurements within waveguides to detect both touch and pressure. This innovation, already garnering 8 citations since 2024, promises to revolutionize collaborative robotics by providing robust, reliable tactile feedback without the complexity of traditional infrared systems. His comprehensive evaluations of material optical properties in dToF tactile sensing further underscore his systematic approach to making optical touch sensors practical for real-world human-interactive applications. With a career defined by translating fundamental photonics into tangible sensor technologies, Laurenzis continues to shape how machines perceive and interact with their environment.
Research Focus
Key Achievements
Top Papers
- 1
- 2Shadows used to peer around corners4 citations · 2019
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