Zhen Ge

Papers

Total Citations

H-Index

About

Zhen Ge is a researcher whose work sits at the intersection of robotics, optimization algorithms, and intelligent path planning. Their most cited paper, "Designing the optimal path curve based on spline functions for mobile robot using the combination of bee colony algorithm and genetic algorithm" (2024, 16 citations), exemplifies their core contribution: developing hybrid meta-heuristic algorithms that synthesize the strengths of biological-inspired approaches—like the bee colony algorithm and genetic algorithm—to solve complex routing problems. Ge’s research addresses the critical challenge of optimizing mobile robot trajectories by simultaneously minimizing time, path length, and energy consumption, moving beyond classical and probabilistic methods to achieve more efficient, spline-based curve designs. This work has already garnered attention in the robotics and automation community, reflecting its practical relevance for autonomous navigation. By pioneering these algorithm combinations, Ge is advancing the frontier of intelligent motion planning, offering solutions that are both computationally robust and energy-aware. Their ongoing contributions promise to shape the next generation of autonomous systems, making them a notable figure in the field of robotic path optimization.