Jin Woo Jang

Papers

1

Total Citations

2

H-Index

1

About

Jin Woo Jang is a robotics researcher focused on autonomous navigation and control systems for mobile robots. His work centers on developing intelligent, self-driving platforms for industrial applications, particularly in logistics and warehouse automation. Jang’s most cited paper presents a ROS-based control system for indoor self-driving mobile robots, integrating localization and object identification. The system uses an adaptive Monte Carlo localization (AMCL) algorithm, combining IMU sensor data with encoder odometry to estimate and correct robot position in real time. A lower-level controller (OpenCR) handles motor control and sensor processing, enabling the robot to classify boxes by region and company, avoid obstacles, and transport items to target destinations. This work demonstrates practical solutions for unmanned logistics centers, addressing key challenges in real-time navigation and object handling. While his citation count is currently modest, Jang’s research contributes to the growing field of autonomous mobile robotics, with potential applications in warehouse automation, smart factories, and indoor delivery systems. His integration of ROS with sensor fusion and localization algorithms represents a foundational approach for developing reliable, cost-effective indoor navigation solutions.

Research Focus

Key Achievements

1
H-Index
1
Papers
2
Total Citations
2
Avg Citations/Paper
🏆 Most Cited Paper
ROS-based Control System for Localization and Object Identification of Indoor Self-driving Mobile Robot
2 citations · 2021
📈 Most Prolific Year: 2021 (1 Papers)
🤝 Key Collaborators: 3

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 10 days ago