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IAN: Multi-behavior navigation planning for robots in real, crowded environments
(2020)2020 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)State-of-the-art approaches for robot navigation among humans are typically restricted to planar movement actions. This work addresses the question of whether it can be beneficial to use interaction actions, such as saying, touching, and gesturing, for the sake of allowing robots to navigate in unstructured, crowded environments. To do so, we first identify challenging scenarios to traditional motion planning methods. Based on the hypothesis ...Conference Paper -
FlowBot: Flow-based Modeling for Robot Navigation
(2022)2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)Autonomous navigation among people is a complex problem that also exhibits considerable variation depending on the type of environment and people involved. Here we consider navigation among crowds that exhibit flow-like behavior like people moving through a train station. We propose a novel pseudo-fluid model of crowd flow for such problems. These have an intuitive physical interpretation and do not require much tuning. We further formalize ...Conference Paper -
NavDreams: Towards Camera-Only RL Navigation Among Humans
(2022)2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)Autonomously navigating a robot in everyday crowded spaces requires solving complex perception and planning challenges. When using only monocular image sensor data as input, classical two-dimensional planning approaches cannot be used. While images present a significant challenge when it comes to perception and planning, they also allow capturing potentially important details, such as complex geometry, body movement, and other visual cues. ...Conference Paper