Lianghao Ji

Chongqing University of Posts and Telecommunications

Papers

Total Citations

H-Index

About

Lianghao Ji is a researcher specializing in robotics and intelligent optimization algorithms, with a particular focus on path planning and swarm intelligence. His most cited work, "3D path planning for a robot based on improved ant colony algorithm" (2020, 23 citations), introduces a novel enhancement to the classical ant colony optimization method, enabling more efficient and adaptive navigation for robots in complex three-dimensional environments. This contribution addresses critical challenges in autonomous robotics, such as obstacle avoidance and energy-efficient route selection, and has been recognized for its practical applicability in fields like industrial automation and unmanned systems. Ji's research demonstrates a strong commitment to bridging theoretical algorithm design with real-world robotic applications, offering scalable solutions that improve computational efficiency and robustness. His work has garnered attention from peers working in evolutionary computation and mobile robotics, and it serves as a valuable reference for students and researchers seeking to advance path planning techniques. With a growing citation impact, Lianghao Ji continues to contribute to the development of intelligent systems that operate effectively in dynamic, unstructured spaces.