Papers
18
Total Citations
306
H-Index
7
About
Joan Aranda is a researcher whose work sits at the intersection of robotics, rehabilitation engineering, and human-machine interaction. Best known for pioneering contributions to exoskeleton control and brain-machine interfaces (BMIs), Aranda has significantly advanced how wearable robotic systems can restore mobility in individuals with spinal cord injuries. His most-cited work, "Control of an Ambulatory Exoskeleton with a Brain–Machine Interface for Spinal Cord Injury Gait Rehabilitation" (2016, 128 citations), demonstrated the transformative potential of neural command-driven closed-loop control for improving motor recovery in paralyzed patients. Complementing this, his adaptive control strategies for postural stability and volition-adaptive gait training reflect a sustained commitment to creating rehabilitation technologies that genuinely respond to the user's intentions and needs. Aranda's earlier research explored gesture-based human-machine interfaces and omnidirectional mobile robot architectures, revealing a broad foundational interest in intuitive human-robot interaction that has consistently informed his later clinical applications. With over 260 cumulative citations, his body of work has shaped the field of neurorehabilitation robotics, offering researchers and clinicians practical frameworks for designing more responsive, patient-centered assistive technologies.
Research Focus
Key Achievements
Top Papers
- 1
- 2An adaptive control strategy for postural stability using a wearable robot69 citations · 2014
- 3
- 4Visual human machine interface by gestures18 citations · 2004
- 5
- 6
- 7Adaptive walking assistance based on human-orthosis interaction7 citations · 2015
- 8Compliant gait assistance triggered by user intention5 citations · 2015
- 9
- 10Control architecture for a three-wheeled roller robot5 citations · 2002