Kai-Yi Wong

About

Kai-Yi Wong is a robotics researcher whose work focuses on intelligent manipulation, motion planning, and autonomous systems. His primary research areas include robot grasping, real-time object tracking, and autonomous navigation, with applications spanning industrial automation and underwater inspection. Wong’s most cited work, “Moving Object Prediction and Grasping System of Robot Manipulator” (2022, 32 citations), presents a system that enables a robotic manipulator to predict and grasp moving objects on conveyors and rotating platforms—a critical advancement for dynamic manufacturing environments. He also developed a picture-based drawing robot system (2017) that automates the plotting process, reducing manual effort in artistic robotics. More recently, Wong implemented a real-time pick-and-place system using a rapidly-exploring random tree (RRT) strategy (2023) and explored underwater autonomy with an AUV for pipeline following using YOLOv8 instance segmentation (2024). His work demonstrates a strong commitment to integrating computer vision, path planning, and ROS-based control to solve practical challenges in robotics. With a growing citation record and contributions to both industrial and field robotics, Wong is establishing himself as a versatile researcher advancing autonomous manipulation and perception.

Research Focus

Key Achievements

Top Papers

1. 1
   Moving Object Prediction and Grasping System of Robot Manipulator

   32 citations · 2022
2. 2
   Motion planning and control of a picture-based drawing robot system

   8 citations · 2017
3. 3
   Implementation of a Real-Time Object Pick-and-Place System Based on a Changing Strategy for Rapidly-Exploring Random Tree

   5 citations · 2023
4. 4
   Autonomous Underwater Vehicle for Pipeline Following Using YOLOv8 Instance Segmentation and Robotic Operating System

   1 citations · 2024

Key Collaborators

Contact & Links