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The Multi-operator multi-mobile-manipulator (MOM3) teleoperation system is built and several operators located in different places can control the multiple manipulators to collaborate with each other via network. It takes advantage of mobility, cooperation, distribution, which enhance the ability of the system to fit into more complex task. Time delay and dynamic interaction between multi-operator and multi-robot deteriorates its performance. Considering these influence, the human-robot intelligence shared control strategy is proposed to improve performance of the system, which combines the humanrobot intelligence from the master side and slave side respectively. At the master side, the virtual guide can guide or restrict the operators' action, which realizes efficient collaboration and improves the operation accuracy. At the slave side, the coordinated controller fuses operators' commands with force/torque information obtained from corresponding sensors, and achieves expected coordinated control by adjusting coordinated factor. A cooperative task experiment to simulate the dangerous environment is carried out by three operators and mobile-manipulator. Results demonstrate the validity of the strategy proposed.