Stanford researchers presented their work on developing better, faster ways of providing human guidance to autonomous systems at the June Robotics: Science and Systems conference. The team's process to providing instruction to robots combines demonstrations and user preference surveys, with the goal of combining data from both of these sources for robots to better learn about humans' preferred reward function.