Interactive Robotic Exercise Coach
for Physical Therapy

A socially assistive robot has the potential to augment and assist physical therapy sessions for patients with neurological and musculoskeletal problems (e.g. stroke). However, the interaction between humans and robots is still limited. For instance, prior work on a robotic exercise coach mainly utilizes pre-defined corrective feedback even if patients have various physical conditions. This research focuses on the domain of stroke rehabilitation for a robotic exercise coach and explores various techniques for more intelligent and personalized human-robot interaction for physical therapy.

2022

Enabling AI and Robotic Coaches for Physical Rehabilitation Therapy: Iterative Design and Evaluation with Therapists and Post-Stroke Survivors

Min Hun Lee, Daniel P. Siewiorek, Asim Smailagic, Alexandre Bernardino, Sergi Bermúdez i Badia
International Journal of Social Robotics (IF 5.1) 2022

2021

Interactive Hybrid Intelligence Systems for Human-AI/Robot Collaboration

PhD thesis.

2020

Towards Personalized Interaction and Corrective Feedback of a Socially Assistive Robot for Post-Stroke Rehabilitation Therapy

Min Hun Lee, Daniel P. Siewiorek, Asim Smailagic, Alexandre Bernardino, Sergi Bermúdez i Badia
IEEE International Conference on Robot and Human Interactive Communication (RO-MAN) 2020

2019

Intelligent Agent for Assessing and Guiding Rehabilitation Exercises

International Joint Conference on Artificial Intelligence (IJCAI Doctoral Consortium) 2019

2018

2017