Karina Assolari Takano

Universidade Tecnológica Federal do Paraná

Papers

Total Citations

H-Index

About

Karina Assolari Takano is a researcher whose work bridges robotics, optimization, and intelligent control systems. Her primary research areas include parallel robotics, flexible-joint mechanisms, and multi-objective design optimization, with a focus on enhancing robotic performance through computational intelligence. Her most notable contribution is the "Multi-objective optimal design of flexible-joint parallel robot" (2018), which has garnered 24 citations—a significant impact in the specialized field of robotic design. In this work, she developed a systematic procedure for optimizing a symmetrical 2-DOF parallel planar robot with flexible joints, simultaneously considering workspace size, dynamic dexterity, and control energy. This multi-criteria approach represents a practical advancement in designing more efficient and versatile robotic systems. Additionally, her earlier work on "Hierarchic Fuzzy Approach Applied in the Development of an Autonomous Architecture for Mobile Agents" (2014) explores fuzzy logic for autonomous navigation, though with fewer citations. Takano’s research is valuable for students and engineers interested in the intersection of mechanical design and control optimization, offering a framework for balancing competing performance metrics in robotics.