Researchers from robotics and artificial intelligence increasingly agree that ideas from biology and self-organization can strongly benefit the design of autonomous robots. Biological organisms which are for the better part built from soft materials, have evolved to perform and survive in a world characterized by rapid changes, high uncertainty, indefinite richness, and limited availability of information. The term "Soft Robotics" designates a new generation of robots capable of functioning in the real world by capitalizing on "soft" designs at various levels: surface (skin), movement mechanisms (muscles, tendons), and interaction with other agents (smooth, friendly interaction). Industrial robots, by contrast, operate in highly controlled environments with no or very little uncertainty. By "outsourcing" functionality to morphological and material characteristics - e.g. to the elasticity of the muscle-tendon system - the distinction between control and controlled, which is at the heart of manufacturing and control theory, breaks down and entirely new concepts will be required. In this lecture I will argue that the next generation of intelligent machines – robots – will be of the “soft” kind and I will explore the theoretical and practical implications, whose importance can hardly be over-estimated. I will be showing many examples and case studies from biology and engineering. In particular I will be introducing the tendon-driven “soft” robot “Roboy”, and a new project, ROBOLOUNGE, designed to enable customers to “experience the future” in very close interaction with robots. I will conclude with some “l(fā)essons learned” and trends in robotics.