Ruihao Zhang

China University of Mining and Technology

Papers

Total Citations

H-Index

About

Ruihao Zhang is a researcher advancing the frontiers of intelligent robotics, with a primary focus on path planning and multi-objective optimization. His most cited work, "Path Planning based on Multi-objective Topological Map" (2021, 9 citations), tackles a critical bottleneck in autonomous navigation: the trade-off between computational scalability and solution optimality. By integrating topological maps with multi-objective frameworks, Zhang addresses the challenge of planning efficient, conflict-aware routes for robots operating in complex environments—a problem that grows exponentially with problem scale. This contribution is particularly relevant for applications in logistics, autonomous vehicles, and service robotics, where real-time decision-making under multiple constraints is essential. While his citation count reflects an emerging career, the work signals a promising trajectory in bridging theoretical optimization with practical robotic systems. Zhang’s research not only offers a methodological advance but also provides a foundation for future studies on scalable, high-performance path planning, making him a researcher to watch in the evolving landscape of intelligent autonomous systems.