Papers

13

Total Citations

253

H-Index

7

About

Javier Sanjuan is a robotics researcher whose work sits at the intersection of assistive technology, human-robot interaction, and rehabilitation engineering. His research focuses primarily on designing and controlling robotic systems that empower individuals with physical disabilities to lead more independent lives, with particular emphasis on wheelchair-mounted robotic arms and adaptive control interfaces. Sanjuan's most influential contribution is his comprehensive systematic review of robotic arm gripper designs (2023, 93 citations), which has become a key reference for researchers and engineers navigating the rapidly evolving landscape of robotic end-effectors. His highly cited work on eye-gaze control of a 6DOF assistive robot (2021, 68 citations) demonstrated innovative solutions for enabling people with severe motor impairments to manipulate their environment through intuitive gaze-based interfaces. Complementing this, he has explored chin and finger joystick control systems, optimal robot base placement, and kinematic analysis to maximize functional workspace for activities of daily living. More recently, Sanjuan has embraced cutting-edge developments in telerehabilitation, integrating Industrial Internet of Things (IIoT) technologies and digital twin frameworks to extend rehabilitation services beyond clinical settings. With over 240 cumulative citations, his body of work represents a meaningful and growing contribution to accessible robotics and human-centered engineering design.

Research Focus

Key Achievements

7
H-Index
13
Papers
253
Total Citations
19
Avg Citations/Paper
🏆 Most Cited Paper
Current Designs of Robotic Arm Grippers: A Comprehensive Systematic Review
93 citations · 2023
📈 Most Prolific Year: 2021 (4 Papers)
🤝 Key Collaborators: 29
🏛 Institutions: University of Wisconsin–Milwaukee, Universidad del Norte

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago