In this letter, we propose a real-time self-collision avoidance approach for whole-body humanoid robot control. To achieve this, learn the feasible regions of control in humanoid's joint space as smooth boundary functions. Collision-free motions are generated online by treating learned functions constraints Quadratic Program based Inverse Kinematic solver. As geometrical complexity grows with n...

Clinical studies often collect longitudinal and time-to-event data for each subject. Joint modeling is a powerful methodology evaluating the association between these data. The existing models, however, have not sufficiently addressed problem of missing data, which are commonly encountered in studies. In this paper, we introduce novel joint model with shared random effects incomplete Our propos...