About

Juan Carlos Arceo is a specialist in rehabilitation robotics, with a focus on the modeling and control of robotic devices for motor recovery. His work centers on developing advanced control strategies for parallel robots used in ankle reeducation, a critical area for restoring mobility in patients with neurological or orthopedic injuries. Arceo’s most cited paper, “An Extension of Computed-Torque Control for Parallel Robots in Ankle Reeducation” (2019, 13 citations), proposes a novel control framework that enhances the precision and safety of robotic therapy, addressing key challenges in human-robot interaction. His earlier study, “Modeling and Control of Rehabilitation Robotic Device: motoBOTTE” (2018, 4 citations), provides foundational insights into the design and dynamic behavior of a dedicated rehabilitation platform. Through these contributions, Arceo bridges theoretical control engineering with practical clinical applications, aiming to improve the efficacy of robotic-assisted therapy. His work is particularly relevant for researchers and engineers developing adaptive, patient-specific rehabilitation systems, and it underscores his commitment to advancing assistive technologies that restore function and quality of life.

Research Focus

Key Achievements

2
H-Index
2
Papers
17
Total Citations
9
Avg Citations/Paper
🏆 Most Cited Paper
An Extension of Computed-Torque Control for Parallel Robots in Ankle Reeducation
13 citations · 2019
📈 Most Prolific Year: 2019 (1 Papers)
🤝 Key Collaborators: 10
🏛 Institutions: Laboratoire d'Automatique, de Mécanique et d'Informatique Industrielles et Humaines, Centre National de la Recherche Scientifique

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago