Nicola Mimmo
University of Bologna, University of Twente, Marconi University
Papers
8
Total Citations
184
H-Index
6
About
Nicola Mimmo is a robotics and control systems researcher whose work spans autonomous unmanned aerial vehicles (UAVs), aerial manipulation, and distributed optimization for cooperative robotics. His most influential contribution, a control architecture for multi-drone search and rescue operations (2016, 69 citations), established a framework enabling a single operator to coordinate multiple UAVs through multimodal interaction — a significant advance in human-robot teaming for emergency scenarios. Building on this foundation, Mimmo has made notable strides in extending UAV operational autonomy, including pioneering autonomous battery exchange systems using mobile ground bases (2018, 28 citations) and developing robust control strategies for aerial manipulators capable of physical environmental interaction (2018, 21 citations; 2020, 14 citations). More recently, his research has shifted toward distributed optimization, where his Aggregative Tracking Feedback framework (2022, 30 citations) and subsequent nonconvex extensions (2024, 16 citations) offer principled solutions for coordinating large robot networks without centralized control. His work also extends to agricultural robotics and avalanche rescue simulation tools, reflecting a broad commitment to real-world robotic applications. Across his career, Mimmo has accumulated over 180 citations, marking him as an emerging and versatile voice in autonomous systems research.
Research Focus
Key Achievements
Top Papers
- 1
- 2Aggregative feedback optimization for distributed cooperative robotics30 citations · 2022
- 3Autonomous Battery Exchange of UAVs with a Mobile Ground Base28 citations · 2018
- 4Robust Control of an Aerial Manipulator Interacting with the Environment21 citations · 2018
- 5
- 6Robust motion control of aerial manipulators14 citations · 2020
- 7An ARVA Sensor Simulator4 citations · 2020
- 8