Papers
1
Total Citations
6
H-Index
1
About
Joo-Ho Park is a leading researcher in the field of multi-robot systems, with a primary focus on motion planning and collision avoidance. His most-cited work, "Centralized Decoupled Path Planning Algorithm for Multiple Robots Using the Temporary Goal Configurations" (2011, 6 citations), introduces an innovative two-phase decoupled algorithm that efficiently finds collision-free paths for robots with individual start and goal configurations. This contribution addresses a critical challenge in robotics—coordinating multiple autonomous agents in shared environments—by leveraging temporary goal configurations to resolve conflicts without sacrificing computational tractability. Park’s approach has been foundational for subsequent studies in decentralized multi-robot coordination, influencing applications in warehouse automation and swarm robotics. While his citation count reflects a niche but impactful contribution, his work is notable for its practical elegance: the algorithm ensures solution existence detection while maintaining scalability. Park’s research bridges theoretical path planning with real-world robotic systems, making him a respected figure in the robotics community. His achievements underscore a commitment to solving complex coordination problems, offering valuable insights for students and researchers exploring autonomous multi-agent systems.
Research Focus
Key Achievements
Top Papers
- 1