of spatial concepts, vocabularies, and a map • Sequential Bayesian estimation with particle filter [10] • Cross-modal inference is possible [4] A. Taniguchi, et.al, “Improved and scalable online learning of spatial concepts and language models with mapping”, Autonomous Robots, Vol.44, pp927-946, 2020. [9] A. Taniguchi, et al. "Autonomous planning based on spatial concepts to tidy up home environments with service robots“, Advanced Robotics, Vol.35, No.8, pp.471-489, 2021. [10] K. R. Canini, et al. “Online Inference of Topics with Latent Dirichlet Allocation”, International Conference on Artificial Intelligence and Statistics (AISTATS), Vol.9, No.1999, pp.65–72, 2009. The robot need to obtain a certain amount of observations in the environment. 7 Spatial concept formation method based on probabilistic generative model [4, 9] Definition:Spatial concepts A set of parameters on probability distributions formed by unsupervised learning based on multimodal information as places. The robot can construct statical k w “which object is likely to h p ” through observation. Gaussian dist. ⇒ Reduce on-site learning cost by using commonsense knowledge