Danya Ortega-Cabrera

Papers

Total Citations

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About

Danya Ortega-Cabrera is a researcher advancing the field of collaborative robotics within the Industry 4.0 framework, with a focus on trajectory generation and human-robot interaction. Their most-cited work, "Trajectory Generator System for a UR5 Collaborative Robot in 2D and 3D Surfaces" (2023, 4 citations), addresses a critical challenge in modern manufacturing: enabling cobots to perform precise, adaptive movements alongside human workers. By developing a system that generates efficient trajectories for the UR5 cobot across both planar and three-dimensional surfaces, Ortega-Cabrera contributes to making collaborative robots more versatile and safer for industrial applications. This work supports the broader goal of integrating robots into dynamic production environments where they can assist with tasks ranging from assembly to surface finishing. While their citation count is currently modest, reflecting the early stage of this research, the practical implications of their trajectory generator are significant for industries seeking to enhance automation without sacrificing flexibility. Ortega-Cabrera’s focus on cobot trajectory planning positions them as a contributor to the ongoing evolution of human-robot collaboration, a key pillar of smart manufacturing.