Background/Objectives: Robot-led rehabilitative exercise offers a promising avenue to enhance the care provided by exercise specialists (ESs). ESs, such as physical and occupational therapists, prescribe exercise regimens to clinical populations to improve patients’ adherence to prescribed exercises outside the clinic, such as at home. Collaborative efforts among roboticists, clinical ESs, and patients are essential for developing interactive, personalized exercise systems that meet each stakeholder’s needs. This work builds upon research involving individuals with Parkinson’s disease (PD) that evaluated a robotic rehabilitative exercise system designed to address strength and flexibility deficits. Methods: To complement the findings of our previous work in people with PD (PWP), we conducted a pilot user study in which 11 ESs evaluated a novel robot-led exercise system for PWP, focusing on perceptions of the system’s efficacy and acceptance. Utilizing a mixed-methods approach, including technology acceptance questionnaires, task load questionnaires, and inductively coded semi-structured interviews, we gathered comprehensive insights into ES perspectives and experiences after interacting with the system. Results: Findings reveal a broadly positive reception, which highlights the system’s capacity to augment traditional rehabilitative exercise for PD, enhance patient engagement, and ensure consistent exercise support. We also identified two key areas for improvement: incorporating more human-like feedback systems and increasing the robot’s ease of use. Conclusion: This research emphasizes the value of incorporating robotic assistants into rehabilitative exercise for PD, offering insights that can guide the development of more effective and user-friendly rehabilitation technologies.

The goal of this study was to determine if a robot-assisted exercise system could lead individuals with Parkinson’s disease (PD) through different joint ranges of motion in a fun and effective manner. Eleven individuals with PD participated. A novel robotic system placed a target at different places in space for participants to tap with their hand, foot or knee. The range of motion (ROM) was collected by inertial measurement units (APDM), and was extracted using a custom code (Matlab). ROM was dependent upon the exercise and joint of interest. Participants illustrated acceptable levels of fatigue during each session, based on an average ending heart rate of 107.0 ± 11.9 bpm (~70% of maxHR) and an ending RPE of 6.5 ± 1.8 on a 10-point scale, indicating that the sessions were appropriately challenging. Standing forward reach, used to assess static balance and flexibility, improved by an average of 1.7 inches (p < 0.01), demonstrating immediate improvements from exercising with the robot. The results demonstrate the potential benefits of exercising with a robotic exercise system. The number of sessions spent with a PT can be limited by availability, so this system could be a fun way to encourage individuals with PD to complete their PT exercises at home.

Robot-led physical therapy (PT) offers a promising avenue to enhance the care provided by clinical exercise specialists (ES) and physical and occupational therapists to improve patients' adherence to prescribed exercises outside of a clinic, such as at home. Collaborative efforts among roboticists, ES, physical and occupational therapists, and patients are essential for developing interactive, personalized exercise systems that meet each stakeholder's needs. We conducted a user study in which 11 ES evaluated a novel robot-led PT system for people with Parkinson's disease (PD), introduced in [1], focusing on the system's perceived efficacy and acceptance. Utilizing a mixed-methods approach, including technology acceptance questionnaires, task load questionnaires, and semi-structured interviews, we gathered comprehensive insights into ES perspectives and experiences after interacting with the system. Findings reveal a broadly positive reception, which highlights the system's capacity to augment traditional PT for PD, enhance patient engagement, and ensure consistent exercise support. We also identified two key areas for improvement: incorporating more human-like feedback systems and increasing the robot's ease of use. This research emphasizes the value of incorporating robotic aids into PT for PD, offering insights that can guide the development of more effective and user-friendly rehabilitation technologies.