Aitziber Mancisidor
Papers
13
Total Citations
104
H-Index
5
About
Aitziber Mancisidor is a robotics researcher whose work spans rehabilitation robotics, parallel robot control, and advanced manufacturing automation. She has made particularly significant contributions to the field of upper limb rehabilitation technology, most notably through her extensive work on the Universal Haptic Pantograph (UHP), a multi-configurable robotic device capable of addressing diverse rehabilitation needs within a single platform. Her 2017 kinematical and dynamical modeling study of this system has garnered 33 citations, establishing it as a foundational reference in rehabilitation robotics. Mancisidor has pioneered innovative control frameworks designed to make robot-mediated therapy both safer and more inclusive, while her influential research on virtual sensors demonstrates how cost-effective software-based solutions can replace expensive physical sensors in rehabilitation and parallel robotic systems — a practically impactful contribution cited 13 times. Her work on model-based control for parallel robots and singularity parametrization for collaborative robots further reflects her broad expertise in robot kinematics and dynamics. More recently, she has expanded her research toward mobile manipulation accuracy and reinforcement learning-based disassembly automation, addressing sustainability challenges in manufacturing. Across her career, Mancisidor's research consistently bridges rigorous theoretical modeling with real-world clinical and industrial applications.
Research Focus
Key Achievements
Top Papers
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- 3Virtual Sensors for Advanced Controllers in Rehabilitation Robotics13 citations · 2018
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