Won‐Sang Ra

Papers

Total Citations

H-Index

About

Won-Sang Ra is a leading researcher in the fields of robotics, sensor fusion, and autonomous navigation, with a particular focus on multi-robot systems and passive localization. His most influential work, "Robust Least Squares Approach to Passive Target Localization Using Ultrasonic Receiver Array" (2013, 44 citations), presents a groundbreaking algorithm for mobile robot applications. By introducing the target range as an auxiliary variable, Ra effectively removes the nonlinear relationship between range difference information and target location, solving critical real-time processing challenges in passive localization. This work has become a foundational reference for researchers developing cost-effective, sensor-based navigation systems. Ra has also made notable contributions to formation control, as demonstrated in his 2016 paper "Leader-follower formation control of multi-robot without communication links," where he models relative motion between robots as a linear state-space equation to overcome inherent nonlinearity—a significant achievement for decentralized multi-robot coordination. His research directly addresses practical challenges in robotics, offering robust solutions that eliminate the need for expensive communication infrastructure. With a career dedicated to advancing autonomous systems, Ra's work continues to inspire new approaches to sensor-based localization and cooperative robot control.