Panuncio Cruz

Papers

Total Citations

H-Index

About

Panuncio Cruz is a robotics researcher focused on the control and modeling of articulated robotic arms, with a particular emphasis on improving precision in high-stakes applications like surgery. His work addresses the fundamental challenge of vibration and trajectory tracking in robotic manipulators. His most cited work, "PID Anti-Vibration Control of a Robotic Arm" (2016, 26 citations), critically examines the limitations of standard PD control, demonstrating that even with high gains, tracking errors persist when vibration effects are considered—a key insight for industrial and medical robotics. Cruz also contributed to the advancement of minimally invasive surgery with his 2019 paper on robot end-effector trajectory tracking, highlighting how robotic tools can improve patient recovery and surgical efficiency. Additionally, his 2015 paper on variable structure modeling introduces a novel method for deriving multiple dynamic models from a single robotic arm, enabling more adaptable control strategies. Though his citation counts are modest, Cruz’s work represents a focused, technically rigorous contribution to the foundational problems of robotic arm control, vibration suppression, and surgical robotics.