Nicola Ivan Giannoccaro
University of Salento, Innovation Engineering (Italy), Kyushu Institute of Technology, University of Salerno
Papers
24
Total Citations
207
H-Index
9
About
Nicola Ivan Giannoccaro is a prolific robotics and mechatronics researcher whose work spans autonomous mobile robot navigation, advanced sensing systems, and intelligent robotic manipulation. His most influential contributions center on enabling robots to perceive and traverse complex real-world environments, with his 2014 paper on 3D traversability awareness for rough terrain robots accumulating 39 citations and establishing him as a key voice in autonomous outdoor navigation. Alongside this, his development of the Unevenness Point Descriptor (22 citations) provided a sophisticated tool for terrain analysis using 3D point cloud data, advancing the field of robot perception significantly. Giannoccaro has demonstrated remarkable breadth across his career, designing low-cost ultrasonic sensing systems for obstacle avoidance, innovative optical tactile sensors for damage detection, and forest-mapping robots equipped with rocker-bogie mechanisms. His early work on pneumatically actuated harvesting robots reflects a long-standing interest in agricultural automation, while more recent contributions in real-time 3D sensor calibration and intelligent ball-bearing sorting highlight his expertise in industrial robotics. With over 160 cumulative citations across his top publications, Giannoccaro's research consistently bridges theoretical sensing innovation with practical engineering solutions, making his work valuable reading for robotics students and professionals alike.
Research Focus
Key Achievements
Top Papers
- 13D traversability awareness for rough terrain mobile robots39 citations · 2014
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- 6Development of Robot for 3D Measurement of Forest Environment13 citations · 2018
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