Jae Weon Choi

About

Jae Weon Choi is a robotics researcher whose work centers on mobile robot localization, sensor fusion, and intelligent automation for manufacturing. His most influential contributions address the challenge of determining a robot’s position in dynamic environments. In his highly cited 2002 and 2003 papers—garnering 46 and 45 citations, respectively—Choi introduced novel methods for localizing a mobile robot using images of moving targets captured by a fixed camera. By combining visual pose estimation with dead-reckoning sensor data, his approach enabled robust localization without relying on static landmarks, a significant advance for autonomous navigation in unstructured settings. Beyond localization, Choi has contributed to precision manufacturing: his work on sensor data fusion using a perception net for peg-in-hole assembly tasks (4 citations) and on rebalancing methods for front-loading washing machines (2019) demonstrates his versatility in applying robotics to real-world industrial problems. His research on automated soldering and inspection systems further underscores his focus on practical, flexible automation. With a career spanning foundational localization techniques to applied manufacturing solutions, Choi’s work continues to influence both academic robotics research and industrial automation practices.

Research Focus

Key Achievements

Top Papers

1. 1
   Localization of a mobile robot using images of a moving target

   46 citations · 2002
2. 2
   Localization of a mobile robot using the image of a moving object

   45 citations · 2003
3. 3
   Rebalancing Method for a Front-loading Washing Machine Using a Robot Balancer System

   6 citations · 2019
4. 4
   Sensor data fusion using perception net for a precise assembly task

   4 citations · 2003
5. 5
   Development of an automated system for soldering and the solder inspection of an assembly line

   3 citations · 2002

Key Collaborators

Contact & Links