Adriano Mancini

About

Adriano Mancini is a prolific researcher whose work spans robotics, computer vision, assistive technologies, and precision agriculture — fields united by a commitment to intelligent, autonomous systems that address real-world challenges. Based at the Università Politecnica delle Marche, Mancini has made significant contributions to mobile robotics and deep learning applications, with his work accumulating hundreds of citations across diverse domains. Among his most impactful contributions is the development of assistive navigation systems for visually impaired users, including a monocular vision-based wearable system (64 citations) and an embedded multisensor navigation tool (28 citations), both advancing ambient assisted living technology. His pioneering research in retail automation introduced deep learning-driven robotic systems for shelf surveying and inventory management (54 citations each), reducing operational costs and improving store efficiency. Mancini has also advanced UAV-UGV cooperative robotics for extended-range missions (33 citations), railway safety inspection using robotic platforms (27 citations), and bridge predictive maintenance through remote visual inspection (33 citations). More recently, his Agriculture 4.0 research has demonstrated how satellite and drone data can transform precision farming practices (34 citations). Across these areas, Mancini exemplifies how robotics and AI can drive meaningful societal impact.

Research Focus

Key Achievements

Top Papers

1. 1
   Mechatronic System to Help Visually Impaired Users During Walking and Running

   64 citations · 2018
2. 2
   Robotic retail surveying by deep learning visual and textual data

   54 citations · 2019
3. 3
   Mobile robot for retail surveying and inventory using visual and textual analysis of monocular pictures based on deep learning

   54 citations · 2017
4. 4
   Feature group matching for appearance-based localization

   39 citations · 2008
5. 5
   Satellite and UAV data for Precision Agriculture Applications

   34 citations · 2019
6. 6
   A Novel Remote Visual Inspection System for Bridge Predictive Maintenance

   33 citations · 2022
7. 7
   Unmanned Ground and Aerial Vehicles in extended range indoor and outdoor missions

   33 citations · 2014
8. 8
   Embedded Multisensor System for Safe Point-to-Point Navigation of Impaired Users

   28 citations · 2015
9. 9
   Robotic platform for deep change detection for rail safety and security

   27 citations · 2017
10. 10
    Setting of a precision farming robotic laboratory for cropping system sustainability and food safety and security: preliminary results

    21 citations · 2019

Key Collaborators

Contact & Links