Papers
24
Total Citations
385
H-Index
12
About
Paolo Di Lillo is a robotics researcher whose work spans underwater robotics, assistive technologies, and advanced robot motion control. He has made significant contributions to the field of Remotely Operated Vehicles (ROVs), most notably through his involvement in the EU Horizon 2020-funded DexROV project, which pioneered strategies for dexterous underwater manipulation from onshore locations — streamlining offshore operations and reducing costs and crew requirements. His most cited work (67 citations) addresses these challenges directly, establishing him as a key voice in semi-autonomous underwater intervention systems. Equally impactful is Di Lillo's research in assistive robotics, where he has developed sophisticated control architectures enabling people with severe motor disabilities to operate robotic manipulators via Brain-Computer Interfaces (BCI), including P300 and motor imagery paradigms. These systems, accumulating over 100 citations collectively, represent meaningful advances in improving quality of life for individuals with mobility impairments. Beyond these domains, Di Lillo has contributed to robot motion planning, particularly through task-priority inverse kinematics and real-time replanning for redundant robots. His diverse yet cohesive body of work reflects a researcher committed to making robotics both more autonomous and more human-centered.
Research Focus
Key Achievements
Top Papers
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- 2Assistive robot operated via P300-based brain computer interface47 citations · 2017
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- 4Advanced ROV Autonomy for Efficient Remote Control in the DexROV Project32 citations · 2016
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- 10A framework for set-based kinematic control of multi-robot systems14 citations · 2020