Papers
56
Total Citations
962
H-Index
17
About
Germano Veiga is a prominent robotics researcher whose work sits at the intersection of industrial automation, human-robot collaboration, and intelligent manufacturing systems. Based at INESC TEC in Portugal, Veiga has made sustained contributions to making robotic systems more flexible, adaptive, and accessible — particularly for small and medium-sized enterprises (SMEs). His research spans robotic programming methodologies, cognitive and cyber-physical integration, mobile navigation, and collaborative assembly. One of his most recognized contributions is a collaborative welding system combining Building Information Modeling (BIM) with spatial augmented reality for robotic reprogramming, garnering 119 citations. His involvement in the EU-funded SMErobotics project (107 citations) advanced the vision of smart, reconfigurable robots capable of meeting agile manufacturing demands. Earlier foundational work on programming-by-demonstration and service-oriented architectures helped establish more intuitive interfaces between humans and industrial robots. More recently, Veiga has embraced deep learning approaches to human action recognition for collaborative assembly tasks, reflecting his commitment to context-aware, intelligent robotic systems. His research on bin picking entangled objects and mobile manipulators further demonstrates a drive toward solving real-world manufacturing challenges. With a portfolio accumulating hundreds of citations, Veiga's work continues to meaningfully shape the future of flexible, intelligent industrial robotics.
Research Focus
Key Achievements
Top Papers
- 1
- 2SMErobotics: Smart Robots for Flexible Manufacturing107 citations · 2019
- 3Towards an orientation enhanced astar algorithm for robotic navigation52 citations · 2015
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- 6Programming‐by‐demonstration in the coworker scenario for SMEs45 citations · 2009
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- 9Detecting and Solving Tube Entanglement in Bin Picking Operations27 citations · 2020
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