Max Robotics — Global Service Robot Directory + US Certification

About

Jayson P. Rogelio is a robotics researcher whose work spans visual servoing, agricultural automation, and medical robotics. His most cited paper, "Alignment control using visual servoing and mobilenet single-shot multi-box detection (SSD): a review" (2022, 9 citations), critically examines how deep learning-based object detection can enhance robotic responsiveness to dynamic environments—a key challenge in industrial automation. This review highlights the limitations of pre-programmed trajectories and proposes vision-guided control as a solution. Rogelio also contributes to medical robotics through his 2020 study on a 3D-printed X-ray film handler for assistant robotic systems (4 citations), where he applied modal analysis, CFD, and harmonic response analysis to ensure structural integrity under external loads. His work on "The Robotics and the Role on Agricultural Industry in the Philippines" (2020, 3 citations) addresses pressing issues like labor shortages and chemical pollution, advocating for agricultural robotics to boost sustainability. By integrating finite element methods, fluid dynamics, and machine learning, Rogelio demonstrates a multidisciplinary approach to robotics—from precision alignment to real-world deployment in healthcare and farming. His research offers practical pathways for making robots more adaptive, safe, and impactful in critical sectors.