Self-repelling walks and processes are stochastic processes that are influenced by their past behaviour, in a way that makes them try to avoid their past trajectory. In this talk, I will first present a toy model for self-repelling random walks introduced by Toth and Werner, which allows to present results and methods that generalise to more complex models. I will then present the « true » self-avoiding walk (TSAW) and state the results from an article by Toth in 1995. Last, I will informally present the « true » self-repelling motion, which was constructed by Toth and Werner in 1998, and was proved to be the limit of the TSAW very recently by Kosygina and Peterson.