Marsel Mano
Papers
2
Total Citations
18
H-Index
2
About
Marsel Mano is a researcher at the forefront of bio-inspired robotics and neural control systems. His work primarily bridges the gap between biological neural signals and robotic actuation, with a strong focus on brain-machine interfaces (BMI) and adaptive motion generation. In his most cited work (2013, 15 citations), Mano pioneered a novel approach by integrating an artificial neural network controller that directly interprets rat brain signals to drive robot movement—a significant step toward restoring motor function in paralyzed patients. This contribution demonstrates how biological neural data can be transformed into precise robotic commands, offering a promising pathway for advanced prosthetics. Expanding on this, Mano’s 2014 study (3 citations) introduced an evolved neural controller for humanoid robot arm motion planning, solving complex multi-constraint optimization problems to generate adaptive, human-like movements. By merging computational intelligence with neurobiology, Mano’s research not only advances rehabilitation technology but also provides foundational methods for autonomous robotic systems. His work stands as a testament to the potential of neural-driven robotics, inspiring future innovations in assistive devices and intelligent automation.
Research Focus
Key Achievements
Top Papers
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- 2