Papers
19
Total Citations
791
H-Index
10
About
Renan C. Moioli is a pioneering researcher at the intersection of neuroscience, robotics, and rehabilitation engineering. His work centers on developing brain-machine interfaces (BMIs) and neurorobotic systems to restore motor function in patients with severe neurological injuries. Moioli’s landmark 2016 study demonstrated that long-term BMI training with a gait protocol could induce partial neurological recovery in chronic paraplegic patients—a breakthrough that challenged long-held assumptions about spinal cord injury prognosis and has garnered over 430 citations. He has also made significant contributions to post-stroke hand rehabilitation, designing the SOPHIA soft robotic exoskeleton integrated with BMI control, and authoring a comprehensive review on robotic devices for hand therapy. Beyond clinical applications, Moioli has advanced fundamental understanding of artificial homeostatic systems and neural dynamics, exploring how biologically inspired control architectures can govern autonomous robots. His recent work includes integrated neurorobotic models of cerebellar-basal ganglia circuitry and computational approaches to neurological disorders. With a career spanning from evolutionary robotics to translational neurorehabilitation, Moioli’s research continues to bridge the gap between neural computation and practical therapeutic devices.
Research Focus
Key Achievements
Top Papers
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- 3Artificial Homeostatic System: A Novel Approach54 citations · 2005
- 4SOPHIA: Soft Orthotic Physiotherapy Hand Interactive Aid39 citations · 2017
- 5Towards the evolution of an artificial homeostatic system29 citations · 2008
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- 9An Integrated Neurorobotics Model of the Cerebellar-Basal Ganglia Circuitry11 citations · 2023
- 10Neurorobotic Models of Neurological Disorders: A Mini Review11 citations · 2021