About

Pedro Neto is a prominent researcher whose work sits at the intersection of human-robot interaction, industrial robot programming, and advanced manufacturing processes. Based at the University of Coimbra, his research has profoundly shaped how humans collaborate with and control robotic systems in industrial environments. Neto's most influential contributions address the challenge of making robot programming more intuitive and accessible. His early work on accelerometer-based robot control (2009, 101 citations) and CAD-based off-line programming (2010, 79 citations; 2013, 116 citations) replaced cumbersome traditional teach-pendant methods with more natural, efficient interfaces. This thread culminates in his highly cited work on gesture-based human-robot interaction (2018, 161 citations) and real-time hand gesture recognition using neural networks (2013, 73 citations), demonstrating a sustained commitment to seamless human-machine communication. His research also tackles critical safety challenges, with notable contributions to collision avoidance and minimum distance calculation for safe human-robot collaboration (2019, 107 and 95 citations respectively). Complementing this, Neto has made significant advances in friction stir welding of polymeric materials and robotic welding platforms (2014–2015, collectively over 275 citations). With over 1,000 citations across his top works, Neto's research continues to drive meaningful progress in collaborative robotics and smart manufacturing.

Research Focus

Key Achievements

27
H-Index
78
Papers
2,425
Total Citations
31
Avg Citations/Paper
🏆 Most Cited Paper
Gesture-based human-robot interaction for human assistance in manufacturing
161 citations · 2018
📈 Most Prolific Year: 2019 (11 Papers)
🤝 Key Collaborators: 62
🏛 Institutions: University of Coimbra, National Statistical Institute of Portugal, École nationale supérieure d'arts et métiers

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 43 days ago