Olivier Coenen
Papers
2
Total Citations
42
H-Index
2
About
Olivier Coenen is a leading researcher in neurorobotics, whose work bridges computational neuroscience and robotic control to understand how the brain refines movement. His primary research areas include sensorimotor integration, predictive control, and the computational modeling of the cerebellum and basal ganglia. Coenen’s major contribution lies in developing biologically inspired architectures that enable robots to learn and adapt to dynamic environments. His 2011 paper, "Cerebellar Input Configuration Toward Object Model Abstraction in Manipulation Tasks" (39 citations), demonstrates how cerebellar models can correct planned movements during object manipulation, accounting for real-time kinematic and dynamic disturbances. Earlier, his 2000 work, "Models of basal ganglia and cerebellum for sensorimotor integration and predictive control" (3 citations), pioneered a sensorimotor architecture that allowed a microrobot to track moving objects and anticipate future positions using a CCD camera. This foundational research has influenced the design of adaptive robotic systems capable of learning from sensory feedback. Coenen’s work is notable for its interdisciplinary impact, offering insights into both neural computation and practical robotics, and continues to inspire students and researchers exploring the intersection of neuroscience and artificial intelligence.
Research Focus
Key Achievements
Top Papers
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