Carolina Del-Valle-Soto
Papers
3
Total Citations
18
H-Index
3
About
Carolina Del-Valle-Soto is a researcher whose work bridges the frontiers of rehabilitation robotics, wireless communications, and autonomous systems. Her key research areas include gait rehabilitation using virtual reality and affective computing, packet status prediction in IEEE 802.15.4-based wireless networks, and visual servoing control for unmanned aerial vehicles (UAVs). In her pioneering study on gait rehabilitation, she demonstrated how integrating affective states with virtual reality can significantly improve robot-assisted therapy for patients with neurological disorders—a critical contribution given that over seven million people in Mexico suffer from impairments, with 64.1% being gait-related. This work has garnered 9 citations and highlights her commitment to human-centered technology. Her investigations into packet loss prediction models, cited 5 times, provide essential insights for enhancing reliability in industrial automation and mobile sensor networks. Additionally, her development of a sliding-mode controller with dynamic compensation for UAV target tracking, earning 4 citations, advances autonomous navigation capabilities. Del-Valle-Soto’s interdisciplinary approach—combining data science, control theory, and human factors—positions her as a rising leader in creating smarter, more responsive technologies for healthcare and robotics.
Research Focus
Key Achievements
Top Papers
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