Papers

5

Total Citations

628

H-Index

5

About

Michael Foshey is a leading researcher at the intersection of machine learning, digital fabrication, and tactile sensing, with a focus on creating intelligent, wearable human-machine interfaces. His major contributions lie in developing novel methods to capture, convey, and share tactile information, fundamentally advancing how machines and humans interact through touch. Foshey pioneered the use of "conformal tactile textiles" and digitally embroidered smart gloves, enabling the learning and transfer of complex hand-object interactions. His work on "Adaptive tactile interaction transfer" (118 citations) has profound implications for healthcare, augmented reality, and skill development. Additionally, he has innovated in soft robotics by digitally fabricating pneumatic actuators with integrated sensing through machine knitting (102 citations), streamlining the design of assistive wearables. Foshey’s research is highly impactful, with his most cited paper on learning human-environment interactions garnering 375 citations. He has also developed integrated design pipelines for tactile sensing robotic manipulators, reducing manual trial-and-error in engineering. By merging computational design with tactile sensing, Foshey is shaping a future where machines can feel and respond to touch as naturally as humans do.

Research Focus

Key Achievements

5
H-Index
5
Papers
628
Total Citations
126
Avg Citations/Paper
🏆 Most Cited Paper
Learning human–environment interactions using conformal tactile textiles
375 citations · 2021
📈 Most Prolific Year: 2021 (2 Papers)
🤝 Key Collaborators: 20
🏛 Institutions: Massachusetts Institute of Technology, Vassar College, IIT@MIT

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago