Michael Foshey
Massachusetts Institute of Technology, Vassar College, IIT@MIT
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
Top Papers
- 1Learning human–environment interactions using conformal tactile textiles375 citations · 2021
- 2Adaptive tactile interaction transfer via digitally embroidered smart gloves118 citations · 2024
- 3
- 4Dynamic Modeling of Hand-Object Interactions via Tactile Sensing19 citations · 2021
- 5An Integrated Design Pipeline for Tactile Sensing Robotic Manipulators14 citations · 2022