Papers
35
Total Citations
508
H-Index
10
About
Itziar Cabanes is a prominent robotics and automation researcher whose work spans industrial robotics, parallel robot systems, rehabilitation engineering, and engineering education. Based at the intersection of control theory and applied robotics, Cabanes has made significant contributions to human-robot interaction, earning 127 citations for a landmark 2021 review addressing the safety and synchronization challenges facing collaborative industrial robots — one of the field's most pressing concerns. Her expertise in parallel robot dynamics is evident through influential work on the Stewart-Gough platform, redundant sensor-based control, and neural network applications for real-time kinematic computation, collectively accumulating over 130 citations. Cabanes has also distinguished herself in rehabilitation robotics, developing sophisticated control frameworks and virtual sensor technologies for upper-limb therapy devices, prioritizing accessibility and patient safety. Beyond research, Cabanes demonstrates a strong commitment to engineering education. Her 2017 paper on project-based learning for industrial informatics courses — drawing on four years of classroom experience — has garnered 73 citations, reflecting its broad influence on STEM pedagogy. Her most recent work on dual artificial potential field controllers for collision and singularity avoidance underscores her continued relevance at the frontier of safe human-robot collaboration.
Research Focus
Key Achievements
Top Papers
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- 6Redundant sensor based control of the 3RRR parallel robot30 citations · 2012
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- 8Virtual Sensors for Advanced Controllers in Rehabilitation Robotics13 citations · 2018
- 9A redundant dynamic model of parallel robots for model-based control13 citations · 2012
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