Aishe Toledo Fuentes

Karlsruhe University of Applied Sciences, Universidad de Oviedo

Papers

Total Citations

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About

Aishe Toledo Fuentes is a researcher specializing in the dynamics and stabilization of mobile manipulators—robotic systems that combine articulated arms with mobile platforms. Her work addresses critical challenges in modern, flexible manufacturing, where these robots must handle objects of varying weights and sizes while moving quickly and safely through industrial spaces. Fuentes’s most cited paper, "6 DOF articulated-arm robot and mobile platform: Dynamic modelling as Multibody System and its validation via Experimental Modal Analysis" (2017, 10 citations), provides foundational modeling and validation techniques for these complex systems. She further advanced the field with "Stable operation of arm type robots on mobile platforms" (2021, 5 citations), which explores geometric and dynamic conditions for reliable performance. Her notable contribution, "Tip-Over Detection and Avoidance Algorithms as Stabilization Strategy for Small-Footprint and Lightweight Mobile Manipulators" (2022, 4 citations), introduces practical, easy-to-implement strategies to prevent tip-over—a key risk in agile, lightweight designs. Fuentes’s research is directly relevant to the growing demand for highly flexible, safe, and efficient logistic systems in individualized production environments.