3 accepted papers
Understanding and anticipating human activity is an important capability for intelligent systems in mobile robotics, autonomous driving, and video surveillance. While learning from demonstrations with on-site collected trajectory data is a powerful approach to discover recurrent motion patterns, gen
When navigating mobile robotic systems in dynamic environments, the ability to predict where pedestrians will move in the next few seconds is crucial. To tackle this problem, many solutions have been developed which take the environment's influence on human navigation behavior into account. However,
As robots are increasingly entering human environments, many subtleties of socially compliant navigation are still unsolved. To behave in a socially compliant way, robots need to have an understanding of the natural motion paths of humans in the shared environment. Humans intuitively follow social n