Papers
7
Total Citations
29
H-Index
4
About
Xavier Giralt’s research sits at the intersection of rehabilitation robotics, surgical assistance, and motion planning, where he has made targeted contributions to improving human-robot interaction. His most cited work, “Study of patient-orthosis interaction forces in rehabilitation therapies” (2012, 7 citations), addresses a fundamental challenge in rehabilitation: designing mechanical joints that mimic biological kinematics to prevent harmful force transmission during therapy. This focus on biomechanical fidelity is complemented by his cognitive approach in “Detection of movements with attention or distraction to the motor task during robot-assisted passive movements” (2012, 5 citations), which highlights the critical role of attention and engagement in motor learning—a factor often overlooked in physical therapy robotics. In the surgical domain, Giralt advanced minimally invasive robotic surgery through vision-based self-calibration of instruments (2007, 4 citations), enhancing 3D perception and hand-eye coordination for surgeons. He also developed the Robotic Proximity Queries (RPQ) library (2007, 4 citations), an optimization of collision detection for open kinematic chains, enabling faster, safer motion planning. With a career spanning rehabilitation, surgery, and computational geometry, Giralt’s work demonstrates a consistent drive to make robots more responsive, perceptive, and safe in clinical and operational settings.
Research Focus
Key Achievements
Top Papers
- 1Study of patient-orthosis interaction forces in rehabilitation therapies7 citations · 2012
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- 5RPQ: ROBOTIC PROXIMITY QUERIES - Development and Applications4 citations · 2007
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