Lelai Zhou

Title: Lelai Zhou and Robotics Innovation in Pouring-Region Identification.

Introduction

Lelai Zhou is an inventor associated with Shandong University in Jinan, China. His patent work addresses a practical challenge in robotics: enabling a mobile robot to identify where it should pour liquid from one container into another.

Latest Patents

Zhou is associated with 1 patent: “Method for Identifying Robot Pouring Regions Based on Hierarchical Processing and Connectivity Maximization and System Thereof.” The invention uses a two-stage process. In the rough-identification stage, a robot’s vision module locates the target container from a relatively distant position and determines where to collect information for closer inspection. In the fine-identification stage, the robot gathers information about the target and source containers, generates corresponding connectable domains, and identifies and optimizes the pouring region using connectivity maximization.

The method is designed to support autonomous pouring-region identification across a broad range of containers. Its approach aims to improve the generalization of robotic pouring skills.

Career Highlights

Zhou’s listed affiliation is Shandong University, a research institution in Jinan. His patent reflects work at the intersection of computer vision, mobile robotics, and robotic manipulation.

Collaborations

Xincheng Tian is identified as Zhou’s coworker. The available information does not specify the nature of their collaboration or their respective contributions to the patent.

Conclusion

Lelai Zhou’s patent presents a hierarchical, connectivity-based approach to helping mobile robots identify pouring regions, with the goal of making robotic pouring more adaptable to different containers.