Hoseong Jung
Papers
1
Total Citations
1
H-Index
1
About
Hoseong Jung is a leading researcher in multi-robot systems, with a primary focus on collision avoidance algorithms that enable safe and efficient coordination among autonomous agents. His most-cited work, the 2025 survey "A Survey on Collision Avoidance Algorithms for Multi-robot Systems," has already garnered 1 citation, reflecting its timely and foundational contribution to the field. Jung’s research systematically categorizes and evaluates state-of-the-art approaches—from reactive methods to predictive and learning-based strategies—providing a critical roadmap for advancing swarm robotics, autonomous navigation, and human-robot interaction. By synthesizing decades of progress, his survey serves as an essential reference for both newcomers and experts, highlighting key challenges such as scalability, real-time performance, and robustness in dynamic environments. Jung’s work is instrumental in bridging theoretical frameworks with practical deployment, influencing applications in warehouse logistics, search-and-rescue missions, and autonomous driving. His contributions underscore a commitment to solving real-world coordination problems, making him a pivotal figure in the evolution of intelligent multi-agent systems.
Research Focus
Key Achievements
Top Papers
- 1A Survey on Collision Avoidance Algorithms for Multi-robot Systems1 citations · 2025