Jenny M. Pantoja
Papers
3
Total Citations
19
H-Index
2
About
Jenny M. Pantoja is a robotics researcher focused on advancing autonomous navigation and manipulation in complex, real-world environments. Her primary research areas include mobile robot path planning, behavior-based control systems, and industrial manipulator kinematics. Pantoja’s most cited work, “Comparison of path planning methods for robot navigation in simulated agricultural environments” (2023, 14 citations), systematically evaluates three path-planning algorithms, demonstrating how environmental complexity directly impacts algorithm performance—a critical insight for deploying robots in unstructured settings like farms. She further developed a “Behavior-Based Fuzzy Control System for Mobile Robot Navigation” (2023, 3 citations), integrating fuzzy logic to enable adaptive, human-like decision-making. Most recently, in “Joint Angle Estimation for an Industrial Manipulator Robot via Convolutional Object Detection and K-means Clustering” (2025, 2 citations), she pioneered a novel approach combining computer vision and unsupervised learning to estimate joint angles without traditional sensors, offering a cost-effective solution for industrial automation. With a growing citation record and work spanning simulation to practical estimation, Pantoja is establishing herself as a versatile contributor to intelligent robotics, bridging algorithmic theory with deployable, sensor-efficient systems.
Research Focus
Key Achievements
Top Papers
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