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Learning Goal Conditioned Socially Compliant Navigation From Demonstration Using Risk-Based Features
2021
IEEE Robotics and Automation Letters
One of the main challenges of operating mobile robots in social environments is the safe and fluid navigation therein, specifically the ability to share a space with other human inhabitants by complying with the explicit and implicit rules that we humans follow during navigation. While these rules come naturally to us, they resist simple and explicit definitions. In this letter, we present a learning-based solution to address the question of socially compliant navigation, which is to navigate
doi:10.1109/lra.2020.3048657
fatcat:22rfk5vpu5h6loqxzvl5ggfnx4