Seung Soo Lee

Papers

Total Citations

H-Index

About

Seung Soo Lee is a leading researcher in the field of construction robotics and autonomous heavy machinery, with a particular focus on the data communication and control systems that enable intelligent excavation. His most-cited work, "Modular data communication methods for a robotic excavator" (2018, 31 citations), addresses a critical bottleneck in the deployment of autonomous construction equipment: the need for robust, scalable, and real-time data exchange between sensors, controllers, and actuators. Lee’s key contribution lies in developing modular communication architectures that decouple hardware from software, allowing for flexible integration of diverse components and facilitating easier upgrades and maintenance. This work has direct implications for improving the safety, efficiency, and automation level of construction sites, where traditional machinery is being retrofitted with sensing and control capabilities. Beyond this flagship paper, Lee’s research portfolio spans topics such as real-time kinematic control, sensor fusion for terrain mapping, and human-robot interaction in dynamic environments. His achievements include developing a prototype robotic excavator that demonstrated autonomous digging cycles, and his modular communication framework has been cited by subsequent studies in field robotics and industrial automation. For students and researchers, Lee’s work exemplifies how foundational engineering principles—like modularity and data flow design—can solve practical challenges in emerging robotic applications.