Emanuele Antonioni
Papers
7
Total Citations
60
H-Index
3
About
Emanuele Antonioni’s research lies at the intersection of multi-robot coordination, human-robot interaction, and socially assistive robotics. His most-cited work, a comprehensive survey on game strategies for physical robot soccer players (34 citations), establishes foundational frameworks for joint decision-making in cooperative robotic teams—directly advancing the field of competitive multi-agent systems. Antonioni has also pioneered inclusive design methodologies, notably through the participatory development of the Signing Tiago robot, which integrates deaf users into the design process to ensure accessibility. His work on autonomous humanoid robots for fitness training addresses the critical challenge of supporting elderly populations, particularly during the COVID-19 pandemic, by reducing social isolation through technology. Further contributions include adaptive team behavior planning using human coach commands and leveraging crowd noise to improve robot soccer decision-making, demonstrating his commitment to blending human input with autonomous learning. With a growing citation record and a focus on real-world impact—from rehabilitation to competitive robotics—Antonioni’s research exemplifies how human-centered design and multi-agent systems can create more inclusive, responsive, and effective robotic solutions.
Research Focus
Key Achievements
Top Papers
- 1Game Strategies for Physical Robot Soccer Players: A Survey34 citations · 2021
- 2Autonomous and Remote Controlled Humanoid Robot for Fitness Training8 citations · 2020
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- 5Adaptive Team Behavior Planning Using Human Coach Commands3 citations · 2023
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