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About

Miguel Almonacid is a pioneering roboticist whose work bridges parallel kinematics, climbing robotics, and assistive technologies. His research centers on the design, control, and application of parallel robots—particularly Stewart-Gough platforms—for challenging environments, from palm tree trunks to surgical theaters. His most influential work, "Motion planning of a climbing parallel robot" (86 citations), introduced a novel concept: using a parallel platform to climb long, irregular structures like palm trunks and tubes, demonstrating both kinematic control and practical deployment. This foundational contribution established a new class of climbing robots with high load capacity and precision. Almonacid further advanced surgical robotics with his 2010 study on a 3UPS1S spherical wrist for laparoscopic applications (42 citations), addressing the critical need for compact, rigid orientation devices to improve ergonomics and reduce interference during surgery. More recently, his 2021 work on a modular mobile robotic platform (16 citations) extends his expertise to assistive robotics, supporting elderly and disabled individuals in daily living. His interdisciplinary approach—combining kinematics, neuro-fuzzy classification for rehabilitation, and multibody dynamics—has yielded over 170 citations, positioning him as a key figure in parallel robot morphologies and their real-world deployment in construction, inspection, and healthcare.