Assistive robotics holds the promise of bettering the lives of countless people throughout the world. As robots become more complex, the degrees-of-freedom for controlling robotic systems is rapidly outpacing the degrees-of-control that can be supplied by humans via conventional interfaces. In this paper, we describe a novel paradigm, amplified control,that strives to capture the adaptability of teleoperation while also leveraging the reduced user burden offered by shared control approaches.The novelty of this approach is that machine intelligence amplifies human intelligence for robotic control as opposed to replacing it, supplementing it, or augmenting it. If successful, our novel control paradigm will lower the barrier of entry (e.g., overcoming physical limitations and lessening cognitive load) for people to operate complex robotic systems for assistive robotics as well as other domains.