Papers
11
Total Citations
272
H-Index
8
About
Giuseppe Cotugno is a robotics researcher whose work spans robotic manipulation, human-inspired grasping, medical robotics, and system integration. His most influential contributions center on understanding the biomechanical role of the thumb in dexterous manipulation and translating these insights into robotic hand design. His 2017 review on thumb morphology in anthropomorphic grasping (71 citations) and his 2016 study quantifying thumb displacement in human and robotic reachability spaces (50 citations) have become key references for researchers developing bio-inspired robotic hands. Cotugno has also made notable strides in medical robotics, particularly robotic palpation for tumor detection. His 2017 paper on force modulation strategies during soft tissue palpation (64 citations) revealed how humans systematically vary applied forces to locate hard abnormalities, work he later extended into autonomous robotic palpation systems for minimally invasive surgery. Beyond manipulation, his research encompasses sensor fusion for object classification, Kalman filter-based robot localization, and human-robot interaction evaluation in industrial settings. His 2021 methodology for complex robotics system integration reflects a broader commitment to bridging cutting-edge research and real-world application. With over 250 cumulative citations, Cotugno's work meaningfully advances the field of intelligent, human-inspired robotic systems.
Research Focus
Key Achievements
Top Papers
- 1The Role of Morphology of the Thumb in Anthropomorphic Grasping: A Review71 citations · 2017
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- 4Evaluation of an Industrial Robotic Assistant in an Ecological Environment15 citations · 2019
- 5Object classification using hybrid fiber optical force/proximity sensor15 citations · 2017
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- 7Dynamic Motion Control: Adaptive Bimanual Grasping for a Humanoid Robot13 citations · 2011
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