With seed grant support from the Stanford Institute for Human-Centered Artificial Intelligence (HAI), Yuhang Che, Ph.D. used AI to train a robot to learn from data about people's behavior in path-crossing situations. The trained robot communicated body-language type cues and explicit messages to cross a human's path. Holding a handheld haptic device with a skin stretch mechanism, the human received communication from the robot. As more autonomous systems come online it will be important to understand how people interact with these systems.