Juan Sandoval
Centre National de la Recherche Scientifique, École Nationale Supérieure de Mécanique et d'Aérotechnique, Laboratoire Pluridisciplinaire de Recherche en Ingénierie des Systèmes, Mécanique et Energétique, Institut National des Sciences Appliquées Centre Val de Loire, Université d'Orléans, Université de Poitiers, Institut Pprime, Laboratoire des Sciences du Numérique de Nantes, École Centrale de Nantes
Papers
51
Total Citations
948
H-Index
14
About
Juan Sandoval is a robotics researcher whose work sits at the intersection of surgical robotics, teleoperation, and human-robot interaction. His research has made substantial contributions to the development of safer, more intelligent systems for minimally invasive surgery (MIS), with a particular focus on redundant robot manipulators, force control, and machine learning-based tool dynamics identification. Sandoval's most influential work applies deep neural networks to estimate tool dynamics in bilateral teleoperation systems, enabling more accurate haptic feedback during robotic surgery — a paper that has garnered 166 citations. His 2023 survey on multimodal human-robot interaction (155 citations) reflects his broader interest in advancing intuitive, safe collaboration between humans and robots. Across multiple 2018 publications, he established robust collaborative and safety-enhanced control frameworks for 7-DoF torque-controlled robots in MIS settings, collectively accumulating over 180 citations. Beyond surgery, Sandoval has explored cobots for Doppler sonography and kinematic optimization for craniotomy assistance, demonstrating a versatile, clinically motivated research vision. His formulation of the Remote Center of Motion constraint for torque-controlled robots has become a foundational reference in surgical robotics. With a consistently cited body of work, Sandoval represents a significant voice in the evolution of safe, intelligent medical robotics.
Research Focus
Key Achievements
Top Papers
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- 2Recent advancements in multimodal human–robot interaction155 citations · 2023
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- 9Cobot with Prismatic Compliant Joint Intended for Doppler Sonography26 citations · 2020
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