Papers
66
Total Citations
1,544
H-Index
22
About
Annalisa Milella is a distinguished robotics researcher whose work spans autonomous mobile systems, terrain analysis, and the integration of robotic and IoT technologies. Operating at the intersection of perception, machine learning, and intelligent systems, she has made foundational contributions to how robots sense and navigate complex, unstructured environments. Her early work on wheel slippage detection for planetary rovers (135 citations) and stereo-based ego-motion estimation (107 citations) established her as a leading voice in robust robot localization and mobility on challenging terrain. She extended these capabilities into agricultural robotics, developing self-learning terrain classification frameworks and ambient awareness systems (122 citations) that enable robots to operate reliably in demanding outdoor settings — including viticulture, where her deep learning approaches for semantic segmentation demonstrate practical, real-world impact. Milella has also shaped the discourse around the Internet of Robotic Things, co-authoring a highly influential paper (154 citations) that frames the convergence of IoT and robotics within Industry 4.0. Her surveillance robotics work (99 citations) further underscores the breadth of her applied vision. With a body of research accumulating hundreds of citations across over a decade, Milella represents a vital bridge between foundational robotics research and transformative real-world applications.
Research Focus
Key Achievements
Top Papers
- 1Internet of Robotic Things in Smart Domains: Applications and Challenges154 citations · 2020
- 2Wheel slippage and sinkage detection for planetary rovers135 citations · 2006
- 3Ambient awareness for agricultural robotic vehicles122 citations · 2016
- 4
- 5An Autonomous Mobile Robotic System for Surveillance of Indoor Environments99 citations · 2010
- 6
- 7
- 8
- 9
- 10An RGB-D multi-view perspective for autonomous agricultural robots39 citations · 2022