Rafael J. Escarabajal
Papers
13
Total Citations
100
H-Index
6
About
Rafael J. Escarabajal is a leading researcher in the field of rehabilitation robotics, with a primary focus on the control and safety of parallel robots for human-robot interaction. His work addresses two critical challenges in this domain: the avoidance of Type II singularities—configurations where a parallel robot loses control of its end-effector—and the development of compliant control strategies for safe physical interaction with patients. Escarabajal has made major contributions by formulating optimal reconfiguration algorithms and vision-based hybrid controllers that allow parallel robots to autonomously escape singularities, as demonstrated in his highly cited works (16 citations each) on forward singularity avoidance and Type II singularity release. His research has also pioneered the use of imitation learning and dynamic movement primitives for generating self-paced, compliant rehabilitation exercises, ensuring that robots adapt to patient needs while maintaining safety. With over 90 total citations across his top ten papers, Escarabajal’s impact is evident in his innovative combination of admittance control with real-time singularity evasion, and his recent work on a novel measure of human muscular manipulability based on force envelopes. His achievements include advancing the practical deployment of parallel robots in rehabilitation therapies and surgical assistance, making him a key figure in the intersection of robotics, control theory, and assistive technology.
Research Focus
Key Achievements
Top Papers
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