The one-dimensional elephant random walk is a typical model of discrete-time random walk with step-reinforcement, and is introduced by Schütz and Trimper (2004). It has a parameter α ∈ (−1, 1):The case α = 0 corresponds to the simple symmetric random walk, and when α > 0 (resp. α < 0), the mean displacement of the walker at time n grows (resp. vanishes) like n α . The walk admits a phase transition at α = 1/2 from the diffusive behavior to the superdiffusive behavior. In this paper, we study the rate of the moment convergence in the central limit theorem for the position of the walker when −1 < α ≤ 1/2. We find a crossover phenomenon in the rate of convergence of the 2m-th moments with m = 2, 3, . . . inside the diffusive regime −1 < α < 1/2.

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The one-dimensional elephant random walk is a typical model of discrete-time random walk with step-reinforcement, and is introduced by Schütz and Trimper (2004 Phys. Rev. E 70 045101). It has a parameter α ∈ ( − 1 , 1 ) : the case α = 0 corresponds to the simple symmetric random walk, and when α > 0 (resp. α < 0), the mean displacement of the walker at time n grows (resp. vanishes) like n α . The walk admits a phase transition at α = 1 / 2 from the diffusive behavior to the superdiffusive behavior. In this paper, we study the rate of the moment convergence in the central limit theorem for the position of the walker when − 1 < α ⩽ 1 / 2 . We find a crossover phenomenon in the rate of convergence of the 2mth moments with m = 2 , 3 , … inside the diffusive regime − 1 < α < 1 / 2 .

A novel robot, Ifbot, which can communicate with human by joyful conversation and emotional facial expression has been developed by our industryuniversity joint research project. I n this paper, as t h e fundamental technology of Ifbot for t h e robot-human interaction, w e propose a n image processing method for real-time face tracking and talker distinction.