Cui Zhu

Beijing Information Science & Technology University

Papers

Total Citations

H-Index

About

Cui Zhu is a researcher in robotics and autonomous navigation, with a focus on developing efficient and safe path-planning algorithms for mobile robots. Their major contributions lie in the integration of optimal reciprocal collision avoidance (ORCA) with an improved dynamic window approach (DWA), as demonstrated in their 2025 paper "Mobile robot path planning based on ORCA and improved DWA method." This work addresses critical challenges in real-time robot motion planning by combining collision-free navigation with adaptive speed control, enhancing both safety and efficiency in dynamic environments. While their research is still emerging, the paper has already garnered 4 citations, signaling growing interest from peers in robotics and artificial intelligence. Zhu’s work is particularly notable for its practical applicability in autonomous systems, such as warehouse robots and service robots, where robust path planning is essential. As a researcher at the forefront of integrating classical and modern control methods, Cui Zhu is poised to make further strides in intelligent navigation, offering valuable insights for students and engineers seeking to advance mobile robot autonomy.