Papers
16
Total Citations
205
H-Index
9
About
Vo Duy Cong is a prominent researcher specializing in robotics, machine vision, and intelligent control systems, with a body of work that bridges theoretical innovation and practical engineering applications. His research has made significant contributions to visual servoing — the use of camera feedback to guide robot motion — including a widely cited review of visual servoing control methods (32 citations) and a novel decoupled control law for robot manipulators (20 citations) that advances the precision and efficiency of image-based guidance systems. Cong's work consistently emphasizes accessible, cost-effective solutions without sacrificing performance. His development of low-cost delta robot arms, FPGA and System-on-Chip-based controllers, and multi-arm sorting systems using machine vision (33 citations) demonstrates a strong commitment to industrial applicability. His research spans mobile robotics — including reinforcement learning-based obstacle avoidance — as well as gesture-controlled robot arms and real-time ball trajectory prediction for ping-pong robots, reflecting remarkable breadth. With over 180 cumulative citations across his most impactful papers, Cong has established himself as a dynamic contributor to the robotics engineering community, particularly in making advanced automation technologies viable for resource-constrained environments and emerging manufacturing applications.
Research Focus
Key Achievements
Top Papers
- 1
- 2A review and performance comparison of visual servoing controls32 citations · 2023
- 3
- 4Industrial robot arm controller based on programmable System-on-Chip device19 citations · 2021
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- 7
- 8Real-time Measurement and Prediction of Ball Trajectory for Ping-pong Robot11 citations · 2020
- 9
- 10Control the robot arm through vision-based human hand tracking9 citations · 2024