Max Robotics — Global Service Robot Directory + US Certification

About

Dr. Jenq-Ruey Horng is a pioneering researcher whose work bridges classical robotics with cutting-edge artificial intelligence, focusing on robot path planning, machine vision, and intelligent automation. His foundational contribution, the 1990 paper on constrained minimum-time path planning for robot manipulators using cubic B-spline functions with virtual knots (70 citations), established a novel method for generating optimal, constraint-satisfying trajectories—a cornerstone in industrial robotics. Building on this, Dr. Horng has advanced the field into the era of Society 5.0, notably through his 2021 work on an Artificial Intelligence of Things (AIoT)-based picking algorithm for online shops (29 citations), which integrates AI and IoT to enhance automated shipping systems. His research in object localization and depth estimation for eye-in-hand manipulators using deep R-CNN and k-nearest neighbors (21 citations) has significantly improved robotic perception and goal-setting. Most recently, his 2021 study on self-correction for robotic grasping via action learning (6 citations) tackles the persistent challenge of cluttered, heterogeneous environments, pushing the boundaries of robotic intelligence. With a career spanning over three decades, Dr. Horng’s work has consistently shaped both theoretical frameworks and practical applications in robotics and automation.