Jiadong Zhou

Papers

Total Citations

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About

Jiadong Zhou is a roboticist whose research focuses on perception-driven manipulation and adaptive control for autonomous systems operating in unstructured environments. His work bridges computer vision and robotics, enabling machines to interact with everyday objects and perform complex tasks with precision. Zhou’s most cited paper, “Robotic Manipulations of Cylinders and Ellipsoids by Ellipse Detection With Domain Randomization” (2022, 17 citations), introduces a novel approach to handling cylindrical and ellipsoidal objects—common in industrial and household settings—by detecting elliptic shape primitives. This work enhances robotic dexterity in tasks like grasping flanges or fruits, using domain randomization to improve generalization across varied conditions. In “Task Sensing and Adaptive Control for Mobile Manipulator in Indoor Painting Application” (2024, 9 citations), Zhou addresses challenges in large-scale surface painting, developing a system that integrates real-time sensing with adaptive control to overcome precision and effectiveness limitations in construction and industrial domains. His contributions advance the practicality of mobile manipulators, offering robust solutions for automation in real-world environments. With a growing citation record, Zhou’s research is shaping the future of robotic perception and manipulation, making him a notable figure in applied robotics.