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CAREER: Closing the Loop of Human-Machine Interactions via Skin-Like Multimodal Haptic Int — NSF Award to SUNY at Stony Brook (NY,

Haptic perception is essential for all human actions, which helps humans explore, understand, and interact with the surrounding environment. When interacting with smart machines, such as robots, prosthetics, computers, or even virtual environments, such haptic feedback is crucial for efficient human-machine interaction

Award titleCAREER: Closing the Loop of Human-Machine Interactions via Skin-Like Multimodal Haptic Int
Award ID2238363
AwardeeSUNY at Stony Brook
CitySTONY BROOK
StateNY
Amount obligated$500,001
Principal investigatorShanshan Yao
ProgramCSCS: Circuits and Systems for
Start date03/01/2023
AbstractHaptic perception is essential for all human actions, which helps humans explore, understand, and interact with the surrounding environment. When interacting with smart machines, such as robots, prosthetics, computers, or even virtual environments, such haptic feedback is crucial for efficient human-machine interactions. Remarkable progress has been made in developing skin-like sensors for users to control machines and for machines to learn about their surrounding environment. However, skin-comp
SourceNSF Awards

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