Andrea Canessa
Papers
11
Total Citations
148
H-Index
8
About
Andrea Canessa is an interdisciplinary researcher whose work spans computational neuroscience, humanoid robotics, and human movement science, with particular expertise in balance assessment, binocular vision systems, and rehabilitation technology. Her early contributions focused on neuromorphic and bio-inspired control architectures for robotic vision, most notably developing cortical models of vergence eye movements implemented on the iCub humanoid robot — work that has accumulated over 40 citations across several publications and advanced the field of autonomous stereo vision in robotics. She subsequently extended her research into peripersonal space representation in humanoid systems, bridging perception and motor control in unstructured environments. More recently, Canessa has made significant strides in clinical and applied movement science, developing robot-based protocols for assessing postural balance in populations including individuals with Parkinson's disease and spinal cord injuries. Her 2022 lifespan study on age-related balance decline (29 citations) stands as her most impactful work, offering a quantitative framework for understanding sensorimotor degradation across the human lifespan. Additional contributions include comparing gait in virtual and physical environments (20 citations) and piloting robotic interventions to combat sarcopenia. Together, her body of work uniquely integrates robotics engineering with human health applications, making her research highly relevant to both engineers and clinical scientists.
Research Focus
Key Achievements
Top Papers
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- 6A Portable Bio-Inspired Architecture for Efficient Robotic Vergence Control10 citations · 2016
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