Antoni Grau
Papers
39
Total Citations
682
H-Index
13
About
Antoni Grau is a prominent researcher at the intersection of robotics, automation, and computer vision, whose work has significantly shaped our understanding of intelligent systems in industrial and autonomous contexts. Based at the Universitat Politècnica de Catalunya, Grau has built a distinguished body of scholarship spanning industrial robotics, simultaneous localization and mapping (SLAM), unmanned aerial vehicles (UAVs), and precision agriculture. His most influential contributions include comprehensive surveys on industrial robotics evolution, most notably his 2020 paper "Robots in Industry: The Past, Present, and Future" (144 citations) and its 2017 predecessor (104 citations), which together provide essential frameworks for understanding how robotics intersects with Industry 4.0 and IoT paradigms. These works have become foundational references for researchers and practitioners navigating modern factory automation. Grau has also made lasting technical contributions in monocular SLAM, developing enhanced feature initialization methods that enable reliable autonomous navigation for mobile robots and UAVs. More recently, his team's work on grape peduncle detection using deep learning and monocular depth estimation (52 citations) demonstrates his expanding reach into agricultural robotics. Across his career, Grau's research consistently bridges theoretical innovation with real-world deployment, making him a versatile and enduring voice in robotics research.
Research Focus
Key Achievements
Top Papers
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- 5Closing Loops With a Virtual Sensor Based on Monocular SLAM40 citations · 2009
- 6Monocular Visual SLAM Based on a Cooperative UAV–Target System27 citations · 2020
- 7Monocular SLAM for Autonomous Robots with Enhanced Features Initialization21 citations · 2014
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- 10Advances in Robotics Research: From Lab to Market19 citations · 2019