Ha-Neul Yoon

About

Ha-Neul Yoon is a robotics researcher specializing in the control and navigation of wheeled mobile robots, with a particular focus on enhancing their autonomy and reliability in dynamic environments. Her work addresses critical challenges in mobile robotics, including slip estimation and compensation, formation control, and object tracking. Yoon's most cited paper (2017, 7 citations) introduces an innovative approach using a current sensing method combined with a Fuzzy PID controller to estimate and compensate for slip in mobile robots, improving their performance on varied terrains. She has also made significant contributions to multi-robot systems, proposing a consensus formation control strategy for five wheeled mobile robots using a leader-follower structure with sliding mode control (2017, 5 citations). Her research extends to model prediction control for two-wheeled mobile manipulators (2015, 5 citations) and time delay compensation using SMC and Smith predictors (2017, 3 citations). Yoon's work is notable for integrating practical sensing techniques with advanced control theory, offering robust solutions for real-world robotic applications. Her contributions are valuable for researchers and students interested in mobile robot control, multi-agent systems, and sensor-based navigation.

Research Focus

Key Achievements

Top Papers

1. 1
   Using current sensing method and fuzzy PID controller for slip phenomena estimation and compensation of mobile robot

   7 citations · 2017
2. 2
   Model Prediction Control of Two Wheeled Mobile Manipulator

   5 citations · 2015
3. 3
   Consensus formation control of multiple wheeled mobile robots

   5 citations · 2017
4. 4
   Simulation of Time Delay Compensation Controller for a Mobile Robot Using the SMC and Smith Predictor

   3 citations · 2017
5. 5
   Object Tracking of the Mobile Robot Using the Stereo Camera

   2 citations · 2015

Key Collaborators

Contact & Links