Jaka Ziherl

About

Jaka Ziherl is a leading researcher in rehabilitation robotics, specializing in the integration of psychophysiological monitoring with robotic therapy for stroke recovery. His work focuses on understanding how physiological signals—such as heart rate, skin conductance, and respiration—can objectively measure a patient’s psychological state during rehabilitation, enabling more adaptive and effective robot-assisted training. His most cited paper (86 citations) analyzes these responses in post-stroke upper extremity tasks, establishing a foundation for biocooperative control systems that adjust difficulty based on user engagement and motivation. Ziherl’s contributions include developing trajectory planning methods for natural arm movements and evaluating different robotic assistance modes in subacute and chronic stroke subjects (35 citations). He also pioneered the "River" multimodal rehabilitation scenario, combining video, audio, and haptic feedback to enhance intrinsic motivation. His work on friction property identification using haptic robots further demonstrates his versatility. With over 170 cumulative citations, Ziherl’s research bridges engineering, psychology, and clinical practice, advancing personalized, closed-loop rehabilitation systems that improve recovery outcomes for stroke patients.

Research Focus

Key Achievements

Top Papers

1. 1
   Psychophysiological Responses to Robotic Rehabilitation Tasks in Stroke

   86 citations · 2010
2. 2
   Evaluation of upper extremity robot-assistances in subacute and chronic stroke subjects

   35 citations · 2010
3. 3
   Psychophysiological responses to robot training in different recovery phases after stroke

   14 citations · 2011
4. 4
   Pick to place trajectories in human arm training environment

   13 citations · 2009
5. 5
   Measuring motor actions and psychophysiology for task difficulty estimation in human-robot interaction

   9 citations · 2010
6. 6
   Challenges in biocooperative rehabilitation robotics

   8 citations · 2011
7. 7
   Pick to Place Trajectories in Human Arm Training Environment

   5 citations · 2009
8. 8
   Identifying and presenting friction properties of materials using a haptic robot

   3 citations · 2012
9. 9
   River multimodal scenario for rehabilitation robotics

   3 citations · 2011
10. 10
    Robotic rehabilitation tasks and measurements of psychophysiological responses

    2 citations · 2010

Key Collaborators

Contact & Links