With the development of the global nuclear industry, the need for advanced safety and security measures has increased. Robotic systems have become a leading solution for detecting radioactive sources in nuclear power plants. However, a single robot often lacks flexibility and adaptability, especially in complex environments. To address these challenges, an innovative multi-spherical robot formation system based on the XK-I spherical robot platform, which is optimized for detecting nuclear leaks, is proposed in this paper. Firstly, this paper introduces an affine formation control algorithm, which supports formation maintenance, transformation, and scaling. Subsequently, an improved RRT* path planning algorithm is proposed, which ensures formation reliable path planning. These capabilities enable the multi-spherical robot system to autonomously inspect and detect nuclear power plant environments. Finally, based on theoretical analysis and calculations, a series of experiments are conducted to assess the ability of performing precise formation movements in nuclear power plants. The experimental results demonstrate that the multi-spherical robot control system can efficiently detect nuclear radioactive source leakage and achieve different formation motions accurately.
He et al. (Thu,) studied this question.