Edwinn Gamborino
Papers
10
Total Citations
85
H-Index
7
About
Edwinn Gamborino is a pioneering researcher at the intersection of human-robot interaction, affective computing, and assistive robotics. His work centers on developing autonomous robotic companions that provide emotional support and cognitive assistance to vulnerable populations, particularly children and the elderly. Gamborino’s major contributions include creating an end-to-end autonomous robotic platform that uses mood estimation algorithms—analyzing facial expressions and body posture—to deliver multi-session emotional support to children, a system that has garnered 17 citations. He also advanced robot-assisted reminiscence therapy by designing interactive question-posing systems that help elderly users recall personal memories from photographs, with his 2019 paper earning 13 citations. His brain-inspired episodic memory model, implemented on the Pepper robot, addresses memory impairment through self-organizing neural networks, cited 9 times. Gamborino’s work on social acceptance in multi-human interactions and interactive reinforcement learning for child mood improvement further underscores his impact, with total citations exceeding 85. Notably, his research bridges technical innovation and real-world application, earning recognition for its potential to enhance well-being through empathetic, socially aware robots.
Research Focus
Key Achievements
Top Papers
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- 9Inferring Human Feelings and Desires for Human-Robot Trust Promotion4 citations · 2019
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