Robert Mihai Mira
Papers
4
Total Citations
73
H-Index
4
About
Robert Mihai Mira is a leading researcher at the intersection of human motor control, collaborative robotics, and assistive technologies. His work centers on understanding and enhancing human-robot interaction, with key contributions in physiological electromyography (EMG), surgical robotics, and mental health-aware automation. Mira’s most cited paper (33 citations) provides a detailed characterization of EMG activations and directional tuning of upper-limb and trunk muscles during reaching movements, offering foundational insights for rehabilitation and industrial applications. He also pioneered a human-driven control architecture for collaborative robots that adapts industrial cell behavior to promote workers’ mental health (17 citations), addressing a critical gap in human-centric automation. In robot-assisted surgery, Mira experimentally validated a dynamic neural network for manipulability optimization of a 7-DoF serial manipulator (14 citations), enhancing safety and accuracy by avoiding singularities. His work on domain adaptation for myoelectric hand prostheses (9 citations) tackles the challenge of training complex models from scratch, proposing transfer learning to improve inter- and intra-subject control. Mira’s research bridges engineering and human factors, driving safer, more intuitive, and psychologically supportive robotic systems.
Research Focus
Key Achievements
Top Papers
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