Keith Behrman

Columbia University

Papers

2

Total Citations

64

H-Index

2

About

Keith Behrman is a roboticist and sensor designer whose work is reshaping tactile sensing for dexterous manipulation. His primary research areas include soft robotics, optical tactile sensing, and sensorized gripper design, with a focus on overcoming the integration challenges that have long kept touch sensing from becoming standard in robotic hands. Behrman’s most impactful contribution is the development of a sensorized, multicurved robot finger that uses overlapping light signals for data-driven touch sensing—a breakthrough that allows a single, continuous sensing surface to detect contact location and force without a complex matrix of discrete sensors. This work, published in 2020 and garnering 60 citations, directly addresses the difficulty of conforming sensors to curved, finger-like geometries. Earlier, in a 2018 paper, Behrman laid the conceptual groundwork for planar sensors using either resistive or optical transduction with overlapping signals, demonstrating that high localization accuracy can be achieved with far simpler fabrication and circuitry. By moving away from traditional miniaturized sensor arrays, Behrman’s approach promises more robust, manufacturable, and adaptable tactile skins for next-generation robotic hands.

Research Focus

Key Achievements

2
H-Index
2
Papers
64
Total Citations
32
Avg Citations/Paper
🏆 Most Cited Paper
A Sensorized Multicurved Robot Finger With Data-Driven Touch Sensing via Overlapping Light Signals
60 citations · 2020
📈 Most Prolific Year: 2020 (1 Papers)
🤝 Key Collaborators: 11
🏛 Institutions: Columbia University

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago