Sang-Hyung Ha
Papers
2
Total Citations
8
H-Index
2
About
Sang-Hyung Ha is a robotics researcher whose work focuses on intelligent control systems and autonomous navigation. His primary research areas include autonomous mobile robot path planning, collision avoidance, and biped robot control using soft-computing and neural network techniques. Ha’s most cited work, “Collision-Avoidance and Optimal Path Planning of Autonomous Mobile Robot using Soft-Computing” (2010, 6 citations), proposes a novel algorithm combining micro-GA and λ-geometry MRA to enable mobile robots to navigate dynamic environments by finding the shortest collision-free path. This work addresses the growing need for robots that can actively adapt to changing workspaces. In his earlier notable contribution, “The Intelligent Control System for Biped Robot Using Hierarchical Mixture of Experts” (2006, 2 citations), Ha introduced a modular control architecture that employs a Hierarchical Mixture of Experts (HME) neural network to model biped robot dynamics. By decomposing the complex control problem into four sub-modules and using the EM algorithm for iterative learning, this work provides an innovative approach to managing the inherent complexity of biped locomotion. Ha’s research bridges soft-computing and robotics, offering practical solutions for both wheeled and legged autonomous systems.
Research Focus
Key Achievements
Top Papers
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- 2