Gianluca Ippoliti
Marche Polytechnic University, Ospedali Riuniti di Ancona, Universitat de València
Papers
26
Total Citations
519
H-Index
12
About
Gianluca Ippoliti is an Italian control systems researcher whose work spans intelligent control, robotics, and autonomous systems, with particular emphasis on bridging advanced theoretical frameworks with real-world experimental validation. He has made significant contributions to the field of sliding mode control for robotic manipulators, most notably developing discrete-time implementations enhanced by neural network-based uncertainty compensation — work that has garnered over 160 citations across two landmark 2012 studies. His innovative use of Radial Basis Function neural networks with adaptive online learning algorithms, incorporating growing and pruning strategies, has advanced the practical deployment of robust controllers in uncertain environments. Ippoliti's broader research portfolio reflects a sustained commitment to mobile robotics, encompassing probabilistic localization and SLAM, multi-sensor fusion, and learning-based control architectures for both ground and aerial vehicles. His investigations into UGV-UAV cooperation for extended autonomous missions demonstrate forward-thinking work in heterogeneous multi-agent systems. Additionally, his early contributions to internet-based remote laboratories highlight a dedication to accessible control engineering education. With over a decade of experimental validation underpinning his theoretical contributions, Ippoliti's research represents a compelling synthesis of intelligent systems, autonomous navigation, and practical robotics engineering.
Research Focus
Key Achievements
Top Papers
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- 4Learning control of mobile robots using a multiprocessor system43 citations · 2005
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- 6An Internet based laboratory for control education25 citations · 2003
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