Floor Lift

Floor lift systems encompass a range of technologies, from assistive devices for patient transfer to autonomous systems for object manipulation and even novel approaches to analyzing human movement patterns. Current research focuses on improving efficiency and safety through advancements in control algorithms (e.g., model predictive control, admittance control), machine learning models (e.g., Random Forests, neural networks), and data-driven optimization techniques (e.g., Ant Colony Optimization). These improvements aim to enhance the usability, safety, and effectiveness of floor lift systems across diverse applications, impacting healthcare, robotics, and other fields.