Rehabilitation Robotics: Performance-Based Progressive Robot-Assisted Therapy

By H. Krebs, J. J. Palazzolo, Laura Dipietro, M. Ferraro, J. Krol, Keren Rannekleiv, B. Volpe, Neville Hogan. Auton. Robots, 2003

733 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

Acceptance of Healthcare Robots for the Older Population: Review and Future Directions (2009, background): “There are many different types of healthcare robots; from surgical robots [5] to robots that aid with rehabilitation therapy [6], help the disabled and cognitively impaired maintain their independence [7, 8], and motivate people to exercise and lose weight [9], to robots used for telemedicine [10], ”
A decade retrospective of medical robotics research from 2010 to 2020 (2021, background): “Patient engagement, both cognitive and physical, is another factor known to promote neuroplasticity during rehabilitation (39).”
Augmented visual, auditory, haptic, and multimodal feedback in motor learning: A review (2012, background): “…der Linde et al., 2002), path control (Vallery, Duschau-Wicke, & Riener, 2009) (also known as virtual tunnel; Mihelj, Nef, & Riener, 2007), force fields (Vallery, Duschau-Wicke, & Riener, 2009), performancebased adaptive control (Krebs et al., 2003), or combinations of these control strategies.”
Personalized machine learning for robot perception of affect and engagement in autism therapy (2018, background): “Many therapists encourage children to engage in learning through play (12), traditionallywith toys as open-ended interaction partners.”