Antonio Paolillo

459 total citations
29 papers, 245 citations indexed

About

Antonio Paolillo is a scholar working on Control and Systems Engineering, Computer Vision and Pattern Recognition and Biomedical Engineering. According to data from OpenAlex, Antonio Paolillo has authored 29 papers receiving a total of 245 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Control and Systems Engineering, 12 papers in Computer Vision and Pattern Recognition and 10 papers in Biomedical Engineering. Recurrent topics in Antonio Paolillo's work include Robot Manipulation and Learning (10 papers), Robotic Locomotion and Control (10 papers) and Robotics and Sensor-Based Localization (8 papers). Antonio Paolillo is often cited by papers focused on Robot Manipulation and Learning (10 papers), Robotic Locomotion and Control (10 papers) and Robotics and Sensor-Based Localization (8 papers). Antonio Paolillo collaborates with scholars based in Switzerland, Italy and France. Antonio Paolillo's co-authors include Marilena Vendittelli, Giuseppe Oriolo, Lorenzo Rosa, Angela Faragasso, Andrea Cherubini, Alessandro Giusti, Abderrahmane Kheddar, Pierre-Brice Wieber, Dimitar Dimitrov and Jérôme Guzzi and has published in prestigious journals such as Scientific Reports, Robotics and Autonomous Systems and Science Robotics.

In The Last Decade

Antonio Paolillo

25 papers receiving 239 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Antonio Paolillo Switzerland 11 133 109 78 74 26 29 245
Oliver Birbach Germany 9 122 0.9× 90 0.8× 88 1.1× 142 1.9× 12 0.5× 14 257
Ruobing Wang China 9 67 0.5× 59 0.5× 24 0.3× 125 1.7× 19 0.7× 23 288
H. Tsukune Japan 9 104 0.8× 74 0.7× 39 0.5× 202 2.7× 19 0.7× 23 290
Hongjie Fang China 7 107 0.8× 83 0.8× 31 0.4× 193 2.6× 11 0.4× 12 289
Jānis Ārents Latvia 6 66 0.5× 39 0.4× 25 0.3× 107 1.4× 26 1.0× 14 268
Toshio Ueshiba Japan 11 169 1.3× 81 0.7× 85 1.1× 148 2.0× 6 0.2× 31 359
Martim Brandão United Kingdom 11 90 0.7× 67 0.6× 53 0.7× 68 0.9× 52 2.0× 43 289
Larry Jackel United States 6 70 0.5× 88 0.8× 30 0.4× 86 1.2× 7 0.3× 9 231
Riccardo Caccavale Italy 10 60 0.5× 50 0.5× 27 0.3× 144 1.9× 46 1.8× 23 247
Damir Omrčen Slovenia 8 118 0.9× 89 0.8× 44 0.6× 185 2.5× 22 0.8× 14 289

Countries citing papers authored by Antonio Paolillo

Since Specialization
Citations

This map shows the geographic impact of Antonio Paolillo's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Antonio Paolillo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Antonio Paolillo more than expected).

Fields of papers citing papers by Antonio Paolillo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Antonio Paolillo. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Antonio Paolillo. The network helps show where Antonio Paolillo may publish in the future.

Co-authorship network of co-authors of Antonio Paolillo

This figure shows the co-authorship network connecting the top 25 collaborators of Antonio Paolillo. A scholar is included among the top collaborators of Antonio Paolillo based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Antonio Paolillo. Antonio Paolillo is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Paolillo, Antonio, et al.. (2025). Imitation learning-based Direct Visual Servoing using the large projection formulation. Robotics and Autonomous Systems. 190. 104971–104971.
2.
Giusti, Alessandro, et al.. (2024). Predicting the Intention to Interact with a Service Robot: the Role of Gaze Cues. Zenodo (CERN European Organization for Nuclear Research). 993–999. 2 indexed citations
4.
Giusti, Alessandro, et al.. (2024). A Long-Range Mutual Gaze Detector for HRI. 870–874. 1 indexed citations
5.
Bianco, Andrea, et al.. (2024). Remote Orchestral Conduction via a Virtual Reality System. 1–6.
7.
Paolillo, Antonio, Paolo Robuffo Giordano, & Matteo Saveriano. (2023). Dynamical System-based Imitation Learning for Visual Servoing using the Large Projection Formulation. SPIRE - Sciences Po Institutional REpository. 755–761. 1 indexed citations
8.
Paolillo, Antonio, et al.. (2022). How to compete with robots by assessing job automation risks and resilient alternatives. Science Robotics. 7(65). eabg5561–eabg5561. 17 indexed citations
9.
Paolillo, Antonio, et al.. (2022). Learning Visual Localization of a Quadrotor Using Its Noise as Self-Supervision. IEEE Robotics and Automation Letters. 7(2). 2218–2225. 10 indexed citations
10.
Giusti, Alessandro, et al.. (2022). Selecting Objects on Conveyor Belts Using Pointing Gestures Sensed by a Wrist-worn Inertial Measurement Unit. 2022 IEEE 18th International Conference on Automation Science and Engineering (CASE). 633–640.
11.
Paolillo, Antonio, et al.. (2018). Interlinked Visual Tracking and Robotic Manipulation of Articulated Objects. IEEE Robotics and Automation Letters. 3(4). 2746–2753. 15 indexed citations
12.
Paolillo, Antonio, Pierre Gergondet, Andrea Cherubini, Marilena Vendittelli, & Abderrahmane Kheddar. (2017). Autonomous car driving by a humanoid robot. Journal of Field Robotics. 35(2). 169–186. 16 indexed citations
13.
Paolillo, Antonio, Angela Faragasso, Giuseppe Oriolo, & Marilena Vendittelli. (2016). Vision-based maze navigation for humanoid robots. Autonomous Robots. 41(2). 293–309. 16 indexed citations
14.
Paolillo, Antonio, et al.. (2015). A New Configurable and Parallel Embedded Real-time Micro-Kernel for Multi-core platforms. Dépôt institutionnel de l'Université libre de Bruxelles (Université Libre de Bruxelles). 5 indexed citations
15.
Oriolo, Giuseppe, Antonio Paolillo, Lorenzo Rosa, & Marilena Vendittelli. (2015). Humanoid odometric localization integrating kinematic, inertial and visual information. Autonomous Robots. 40(5). 867–879. 19 indexed citations
16.
Paolillo, Antonio, Andrea Cherubini, François Keith, Abderrahmane Kheddar, & Marilena Vendittelli. (2014). Toward autonomous car driving by a humanoid robot: A sensor-based framework. SPIRE - Sciences Po Institutional REpository. 451–456. 6 indexed citations
17.
Lanari, Leonardo, et al.. (2014). Manual guidance of humanoid robots without force sensors: Preliminary experiments with NAO. IRIS Research product catalog (Sapienza University of Rome). 1184–1189. 10 indexed citations
18.
Faragasso, Angela, Giuseppe Oriolo, Antonio Paolillo, & Marilena Vendittelli. (2013). Vision-based corridor navigation for humanoid robots. IRIS Research product catalog (Sapienza University of Rome). 31. 3190–3195. 28 indexed citations
19.
Oriolo, Giuseppe, Antonio Paolillo, Lorenzo Rosa, & Marilena Vendittelli. (2012). Vision-based Odometric Localization for humanoids using a kinematic EKF. IRIS Research product catalog (Sapienza University of Rome). 153–158. 19 indexed citations
20.
Dimitrov, Dimitar, Antonio Paolillo, & Pierre-Brice Wieber. (2011). Walking motion generation with online foot position adaptation based on &#x2113;<inf>1</inf>- and &#x2113;<inf>&#x211E;</inf>-norm penalty formulations. HAL (Le Centre pour la Communication Scientifique Directe). 18. 3523–3529. 14 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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