Monica Gori
Papers
9
Total Citations
266
H-Index
6
About
Monica Gori’s research sits at the intersection of haptic perception, sensorimotor integration, and human-robot interaction, exploring how the brain processes touch and movement—and how that knowledge can be applied to detect deception. Her most cited work (95 citations) reveals how Parkinson’s disease accelerates age-related decline in haptic perception by disrupting somatosensory integration, offering critical insights into neurodegenerative sensory loss. She has systematically investigated how the brain combines bimanual haptic information to create unified percepts (46 citations) and demonstrated that motor commands can interfere with children’s haptic object perception (40 citations). Notably, Gori has extended her expertise into robotics, developing machine learning systems that enable robots to detect lies during human interactions (29 citations), a breakthrough with applications in education, therapy, and law enforcement. Her work challenges assumptions about perception during interaction, showing it is not based on statistical context alone. With over 260 total citations, Gori bridges fundamental sensory neuroscience and applied robotics, making her a key figure in understanding how we feel, move, and interact—both with the world and with machines.
Research Focus
Key Achievements
Top Papers
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- 3Motor commands in children interfere with their haptic perception of objects40 citations · 2012
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- 6Perception during interaction is not based on statistical context7 citations · 2013
- 7Perception during interaction is not based on statistical context6 citations · 2013
- 8Can a Humanoid Robot Spot a Liar?5 citations · 2018
- 9Better manipulation with human inspired tactile sensing5 citations · 2009