In addition, several works have demonstrated how combining robot affordance learning with language grounding can provide cognitive robots with new and useful skills, such as learning the association of spoken words with sensorimotor experience<cite> [10,</cite> 11] or sensorimotor representations [12] , learning tool use capabilities [13, 14] , and carrying out complex manipulation tasks expressed in natural language instructions which require planning and reasoning [15] .