Hutang Sang
Papers
2
Total Citations
4
H-Index
2
About
Hutang Sang is a rising researcher in the field of multi-robot coordination and intelligent control, with a primary focus on dynamic obstacle avoidance planning for complex suspension systems. Sang’s major contributions lie in developing hybrid optimization algorithms that integrate enhanced metaheuristic techniques with real-time path planning methods. Specifically, Sang proposed the SDBO–IDWA algorithm, which combines a stable dung beetle optimization (SDBO) with an improved dynamic window approach (IDWA) to address the challenging problem of dynamic obstacle avoidance in multi-robot coordinated suspension systems (MCSS). This work, published in 2025, introduces a novel force–position cooperative optimization framework that enables multiple robots to navigate unpredictable environments while maintaining system stability and coordination. Although early in their career, Sang’s two most-cited papers have already garnered 2 citations each, signaling growing interest in their innovative approach to real-time, collaborative robotic control. Sang’s research is particularly notable for its practical applicability in industrial automation and autonomous systems, where safe and efficient multi-robot navigation is critical. Their work represents a significant step forward in bridging optimization algorithms with real-world robotic coordination challenges.
Research Focus
Key Achievements
Top Papers
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- 2