Papers

52

Total Citations

1,668

H-Index

23

About

Ugo Pattacini is a robotics researcher whose work sits at the intersection of humanoid robot control, human-robot interaction, and cognitive architectures. Best known for his foundational contributions to motion planning and manipulation, his 2010 paper on minimum-jerk Cartesian control for humanoid robots (183 citations) established elegant, human-like movement as a practical engineering goal, while his design of the dexterous iCub hand (73 citations) helped transform that platform into one of robotics' most influential open-source testbeds. Pattacini has consistently pushed humanoid systems toward richer social and cognitive competence. His research on gaze cues in human-robot cooperation (145 citations) demonstrated that robots can leverage subtle perceptual signals to accelerate collaborative tasks, and his work on affordances, peripersonal space, and the DAC-h3 cognitive architecture shows a sustained interest in robots that learn from and reason about their environments. More recently, his contributions to the iCub3 avatar system (60 citations) and ergonomics-driven human-robot workstations (94 citations) signal a broadening toward immersive teleoperation and industrial applicability. With over 880 cumulative citations across these works, Pattacini's career charts a coherent arc from low-level motor control to full-bodied human-robot collaboration.

Research Focus

Key Achievements

23
H-Index
52
Papers
1,668
Total Citations
32
Avg Citations/Paper
🏆 Most Cited Paper
An experimental evaluation of a novel minimum-jerk cartesian controller for humanoid robots
183 citations · 2010
📈 Most Prolific Year: 2016 (7 Papers)
🤝 Key Collaborators: 131
🏛 Institutions: Italian Institute of Technology, Institució Catalana de Recerca i Estudis Avançats, Waseda University

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
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