Papers

29

Total Citations

656

H-Index

14

About

Alessandro Roncone is a roboticist whose research sits at the intersection of human-robot collaboration, embodied cognition, and safe robot motion control. His work spans two complementary frontiers: making robots physically safe and perceptually aware in shared human environments, and enabling them to collaborate intelligently and transparently with human partners. Roncone's most influential contribution — "Transparent Role Assignment and Task Allocation in Human-Robot Collaboration" (2017, 109 citations) — tackled a fundamental challenge in collaborative manufacturing: how robots can dynamically negotiate tasks with human workers in real time. This work, alongside his preference-based assistance prediction research, helped establish principled frameworks for genuine human-robot teaming rather than mere co-presence. Equally significant is his foundational work on peripersonal space — the region immediately surrounding a robot's body — drawing inspiration from neuroscience to give robots skin-like awareness of their environment (58 citations). This contributed directly to his motion control and contact anticipation systems, enabling robots to avoid collisions while remaining open to deliberate physical interaction (73 and 31 citations respectively). His earlier contributions on humanoid robot calibration, gaze control, and eye-hand coordination on platforms like iCub further demonstrate a career built on rigorous, biologically informed robot engineering with real-world impact.

Research Focus

Key Achievements

14
H-Index
29
Papers
656
Total Citations
23
Avg Citations/Paper
🏆 Most Cited Paper
Transparent role assignment and task allocation in human robot collaboration
109 citations · 2017
📈 Most Prolific Year: 2018 (5 Papers)
🤝 Key Collaborators: 53
🏛 Institutions: Yale University, Italian Institute of Technology, University of Colorado Boulder

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago