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About

Eugenio Orosco is a leading researcher in biomedical engineering and assistive robotics, with a primary focus on advanced human-machine interfaces for rehabilitation. His most influential work centers on the use of surface electromyography (sEMG) and bispectrum-based signal processing to decode human motor intent. In his highly cited 2012 paper (36 citations), Orosco pioneered the use of bispectrum features for myoelectric control, enabling more robust classification of upper-limb movements. His earlier 2007 work demonstrated two-dimensional myoelectric control of a robotic arm for upper-limb amputees, addressing the critical challenge of prosthetic rejection in a field driven by the needs of war and accident victims. Orosco has also developed innovative non-contact interfaces, such as a robust head-movement-based controller (2013, 11 citations) that fuses inertial and vision data for assistive robotics. His research extends to classifying multichannel sEMG based on muscular synergies (2010), aiming to control powered wheelchairs and multi-degree-of-freedom prosthetics. Most recently, Orosco has advanced autonomous navigation by fusing direct and indirect visual odometry for SLAM in GNSS-denied environments (2025). His work consistently bridges signal processing, robotics, and clinical rehabilitation, making him a key figure in developing practical, non-invasive technologies that restore mobility and independence to individuals with physical disabilities.