Lissette Romero
Papers
1
Total Citations
2
H-Index
1
About
Lissette Romero is a pioneering researcher at the intersection of rehabilitation robotics, wearable bioelectronics, and human–machine interaction. Her primary research areas include intelligent exoskeleton design, soft bioelectronics, and deep-learning-based intention prediction for assistive technologies. Romero’s most notable contribution is her work on an intelligent upper-limb exoskeleton that integrates soft wearable bioelectronics with deep learning to enable human intention-driven strength augmentation. This system uses sensory feedback to predict user movement, addressing the decline in musculoskeletal strength associated with aging and stroke. By eliminating the need for manual operation, her exoskeleton represents a significant leap toward autonomous, intuitive assistive devices. Although her 2023 paper has garnered 2 citations to date, its novelty lies in merging real-time biosignal processing with adaptive mechanical support—a foundation for future high-impact studies. Romero’s work holds promise for restoring independence in daily tasks for elderly and stroke-affected individuals, positioning her as an emerging leader in neurorehabilitation engineering. Her interdisciplinary approach continues to inspire advances in wearable robotics and human augmentation.
Research Focus
Key Achievements
Top Papers
- 1