Francisco J. Badesa

About

Francisco J. Badesa is a prominent researcher specializing in rehabilitation robotics, human-robot interaction, and adaptive control systems for neurological recovery. His work sits at the intersection of biomedical engineering, machine learning, and assistive technology, with a particular focus on restoring motor function in post-stroke patients. Badesa's most influential contributions include the development of pneumatic and electric robotic systems for upper limb rehabilitation, which have collectively amassed hundreds of citations and helped shape modern neurorehabilitation paradigms. His 2011 work on pneumatic robotic systems (94 citations) laid foundational groundwork, while his research on auto-adaptive, machine learning-driven therapy (72 citations) pushed the field toward personalized, responsive treatment protocols. His 2020 study on EEG/EOG-controlled whole-arm exoskeletons for stroke survivors (69 citations) represents a landmark achievement in brain-computer interface-driven rehabilitation. Beyond hardware, Badesa has made significant methodological contributions, including learning-by-demonstration for exoskeleton motion planning, joint reconstruction algorithms for end-effector robots, and dynamic adaptive therapy systems incorporating multisensory physiological data. His home tele-rehabilitation robot further demonstrates his commitment to translating laboratory innovations into accessible, real-world clinical tools, making him a leading voice in the democratization of advanced stroke rehabilitation technology.

Research Focus

Key Achievements

Top Papers

1. 1
   Pneumatic robotic systems for upper limb rehabilitation

   94 citations · 2011
2. 2
   Auto-adaptive robot-aided therapy using machine learning techniques

   72 citations · 2013
3. 3
   Restoring Activities of Daily Living Using an EEG/EOG-Controlled Semiautonomous and Mobile Whole-Arm Exoskeleton in Chronic Stroke

   69 citations · 2020
4. 4
   Learning by Demonstration for Motion Planning of Upper-Limb Exoskeletons

   64 citations · 2018
5. 5
   Hand exoskeleton for rehabilitation therapies with integrated optical force sensor

   62 citations · 2018
6. 6
   A Comparative Analysis of 2D and 3D Tasks for Virtual Reality Therapies Based on Robotic-Assisted Neurorehabilitation for Post-stroke Patients

   53 citations · 2016
7. 7
   Human arm joints reconstruction algorithm in rehabilitation therapies assisted by end-effector robotic devices

   52 citations · 2018
8. 8
   Development of a robotic device for post-stroke home tele-rehabilitation

   43 citations · 2018
9. 9
   Dynamic Adaptive System for Robot-Assisted Motion Rehabilitation

   39 citations · 2014
10. 10
    Estimation of Human Arm Joints Using Two Wireless Sensors in Robotic Rehabilitation Tasks

    37 citations · 2015

Key Collaborators

Contact & Links