Julian Duran
Papers
1
Total Citations
6
H-Index
1
About
Julian Duran is a researcher advancing the field of rehabilitation robotics, with a focus on intelligent human-machine interfaces for stroke therapy. His key research areas include electromyography (EMG)-based motion prediction, reinforcement learning for prosthetic control, and the development of active, sensor-rich robotic devices for clinical and home-based rehabilitation. Duran’s most cited work, "EMG Based Simultaneous Wrist Motion Prediction Using Reinforcement Learning" (2020, 6 citations), introduces a novel framework that enables a robotic device to interpret muscle signals in real time, allowing for intuitive, simultaneous control of wrist movements. This contribution is significant because it moves beyond traditional single-joint or sequential control, offering a pathway toward more natural and adaptive rehabilitation. By integrating reinforcement learning, Duran’s approach allows the device to learn and adjust to individual patient needs, improving both actuation and sensory feedback. His work underscores the potential for intelligent, interactive systems to enhance motor recovery and assessment, bridging the gap between clinical therapy and autonomous home-based care.
Research Focus
Key Achievements
Top Papers
- 1