INESC TEC

🇵🇹 PT

Papers

546

Total Citations

10,864

H-Index

50

Researchers

358

About

INESC TEC (Institute for Systems and Computer Engineering, Technology and Science) stands as one of Portugal's most dynamic and internationally recognized research institutions, with a distinctly multidisciplinary identity spanning robotics, autonomous systems, marine technology, human-robot interaction, and intelligent manufacturing. With deep roots in both fundamental research and applied innovation, INESC TEC has carved out a reputation as a bridge between academic excellence and real-world industrial impact. The institution's robotics portfolio is remarkably broad. Its marine robotics research is globally influential, with landmark contributions to autonomous underwater vehicle (AUV) navigation, terrain-based localization, and coordinated multi-vehicle ocean operations—evidenced by hundreds of citations spanning work from the early ASIMOV project through to comprehensive surveys on marine robotics challenges and environmental monitoring. Complementing this, INESC TEC has played a meaningful role in humanoid robotics through contributions to the internationally celebrated iCub platform, advancing cognitive and neuroscience-driven robot design. In precision agriculture, the institute has emerged as a leading voice, producing widely cited surveys on localization, path planning, and deep learning applications for autonomous field robots. Meanwhile, its Industry 4.0 research—covering digital twins, cyber-physical systems, production scheduling, and human-robot collaboration workspaces—positions INESC TEC at the forefront of intelligent manufacturing transformation. The institution hosts specialized research centers including the Centre for Robotics and Autonomous Systems (CRAS), which drives much of its marine and field robotics excellence. With a citation record reflecting consistent, high-impact output across diverse domains, INESC TEC offers prospective students and collaborators a uniquely rich environment where foundational science meets ambitious, societally relevant application.

Research Focus

Key Achievements

50
H-Index
546
Papers
10,864
Total Citations
358
Faculty & Researchers
🏆 Most Cited Paper
Geometric Approach to Strapdown Magnetometer Calibration in Sensor Frame
311 citations · 2011
📊 Avg Citations/Paper: 20
📈 Most Prolific Year: 2021 (53)
🔬 Research Focus: Computer science, Artificial intelligence, Robot, Engineering, Computer vision, Mobile robot

Top Papers

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Faculty & Researchers

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