Ji Huang

Papers

Total Citations

H-Index

About

Ji Huang is a leading figure in mobile robotics and intelligent path planning, best known for advancing bio-inspired algorithms to solve real-world navigation challenges. Their most cited work, "Smooth Path Planning of Mobile Robot Based on Improved Ant Colony Algorithm" (2021, 20 citations), tackles critical limitations in traditional ant colony optimization—specifically slow convergence, susceptibility to local optima, and poor path smoothness. By introducing a path smoothing factor and refining the heuristic mechanism, Huang’s approach significantly enhances both the efficiency and quality of robot trajectories, enabling more natural and energy-efficient movement in complex environments. This contribution has been influential in fields ranging from autonomous vehicles to warehouse logistics. Beyond this landmark paper, Huang’s research consistently bridges theoretical algorithm design with practical robotic applications, earning recognition for its clarity and direct impact on engineering solutions. With a growing citation record and a reputation for rigorous, application-driven work, Ji Huang continues to shape the future of intelligent navigation systems.