Shuliang Zou
Papers
8
Total Citations
121
H-Index
4
About
Shuliang Zou is a leading researcher at the intersection of robotics, artificial intelligence, and nuclear safety engineering. His primary research focuses on developing intelligent path planning algorithms for mobile robots operating in hazardous radioactive environments, particularly nuclear accident sites and nuclear power plants. Zou’s major contributions include the creation of hybrid optimization algorithms—such as the Improved Ant Colony Optimization with modified A* (IACO-A*-PSO)—that solve complex multi-objective path planning problems by balancing radiation exposure, travel distance, and mission efficiency. His work on multi-target inspection path planning in radioactive indoor environments has been cited over 100 times collectively, reflecting its significant impact on the field. Beyond path planning, Zou has advanced the practical deployment of demolition robots by researching attachment-changing trajectory planning and error compensation for remote operations. He has also contributed to radiation detection using MAPS cameras and to the radiation hardening of control and sensing systems in nuclear robots. His comprehensive 2025 review on mobile robots in nuclear power plants synthesizes decades of fragmented research, establishing him as a key authority in this multidisciplinary domain.
Research Focus
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