Guillermo Urriolagoitia-Sosa
Papers
10
Total Citations
35
H-Index
4
About
Guillermo Urriolagoitia-Sosa is a Mexican robotics and biomedical engineering researcher whose work spans robotic manipulator design, intelligent path planning, and assistive prosthetic technologies. His research career reflects a sustained commitment to advancing both the theoretical and applied dimensions of robotics, with particular emphasis on making these technologies accessible and clinically meaningful. Among his most recognized contributions is the development of the Laplacian Artificial Potential Field (LAPF), a novel approach to robot path planning that leverages discrete solutions to the Laplace equation for navigating complex two- and three-dimensional configuration spaces. Complementing this, his genetic algorithm-based trajectory planning research introduced adaptive population sizing and forced inheritance mechanisms to improve computational efficiency in multi-robot shared workspaces. His 2011 work on dual quaternion kinematics offered a compact, elegant reformulation of robotic manipulator kinematics, bridging classical Denavit-Hartenberg methods with modern mathematical tools. In later years, Urriolagoitia-Sosa pivoted toward human-centered applications, designing 3D-printed prosthetic hands and forearms — including a celebrated guitar-playing transradial prosthesis — as well as lower-limb exoskeletons for mobility-impaired patients. Collectively, his publications have garnered over 35 citations, demonstrating meaningful influence across robotics, rehabilitation engineering, and surgical training system development.
Research Focus
Key Achievements
Top Papers
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- 7Research Advances and Perspective of Multi-Articulated and Robotic Hands2 citations · 2012
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