Manifolds arise in diverse problems in statistics, demanding effective methods for sampling probability distributions defined on them and specialized Markov Chain Monte Carlo (MCMC) methods since Andersen (1983) were developed.Such techniques can be also applied to a variety of sampling problems, even not naturally defined on manifolds. We propose to combine standard MCMC samplers with such manifold steps and develop implementable coupling schemes to diagnose convergence and to evaluate the efficiency.