Jan Riedo
Papers
2
Total Citations
10
H-Index
2
About
Jan Riedo’s research lies at the intersection of rehabilitation robotics and physiological control systems, with a focus on enhancing cardiovascular fitness during robotic gait training. His major contributions center on developing feedback control algorithms that regulate exercise intensity—specifically heart rate and oxygen uptake—during end-effector-based stair climbing. In his most-cited work (2016, 7 citations), Riedo introduced a dual-loop heart rate controller for end-effector robots, combining volitional work rate with automatic physiological regulation. He then advanced this concept in a 2017 study (3 citations) by shifting focus to oxygen uptake (V̇O₂), which more accurately reflects exercise intensity, and identifying key parameters for its control. Though his citation counts are modest, Riedo’s work is notable for bridging rehabilitation engineering with exercise physiology, offering a pathway to integrate cardiovascular therapy into robotic gait training. His achievements include pioneering the use of end-effector robots for controlled aerobic exercise, a novel approach that could benefit patients with neurological or musculoskeletal conditions. For students and researchers, Riedo’s research exemplifies how control theory can be applied to human-robot interaction, opening doors to more holistic rehabilitation strategies.
Research Focus
Key Achievements
Top Papers
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- 2