Nicholas Farrow
Papers
7
Total Citations
134
H-Index
7
About
Nicholas Farrow is a robotics researcher whose work lies at the intersection of swarm robotics, soft robotics, and tactile sensing. His most influential contribution is a stick-slip omnidirectional powertrain for low-cost swarm robotics, which enables full 3-DoF planar motion using inexpensive vibration motors—a breakthrough for scalable robotic swarms (34 citations). He also developed a miniature six-channel range and bearing system for centimeter-scale swarm robots, providing critical localization capabilities for distributed systems (29 citations). In tactile sensing, Farrow pioneered the use of deep autoencoders and geometric moments to detect and identify tactile gestures on robotic skins, advancing human-robot interaction (25 citations). His work on functionalized textiles for interactive soft robotics demonstrates how conductive fabrics can create soft sensors, merging textiles with robotics (17 citations). Farrow also contributed to morphological computation in soft robotics, embedding sensing and processing directly into a soft robotic hand to discern grasp success (13 citations). His research on distributed spatiotemporal gesture recognition and multicast communication for computational robotic materials further showcases his expertise in decentralized, intelligent systems.
Research Focus
Key Achievements
Top Papers
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- 4Functionalized textiles for interactive soft robotics17 citations · 2017
- 5Morphological and Embedded Computation in a Self-contained Soft Robotic Hand13 citations · 2016
- 6Establishing Multi-cast Groups in Computational Robotic Materials8 citations · 2012
- 7Distributed Spatiotemporal Gesture Recognition in Sensor Arrays8 citations · 2015