Data fusion using Bayesian theory and reinforcement learning method

Dear editor, In recent years, the theory and method of mission planning technology have been widely applied to bio-robotic systems.Increasing demands can be addressed by the application of innovative and advanced technology in mission planning and decision-making of bio-robotic systems, which are related to the complexity of mission environments and data fusion.The sizeable amount, geographical distribution, uncertainty, diversity and dynamics of target information make mission planning and decision-making of bio-robotic systems have a huge challenge.To solve this problem, multiple sensors have been used to fully support the information processing system [1].However, because of differences in the performance and function of sensors, multi-source data fusion technology must be used to improve the accuracy of the detected information [2].Therefore, the study of data fusion technology is of significance for bio-robotic systems.