Paper

HRL4IN: Hierarchical Reinforcement Learning for Interactive Navigation with Mobile Manipulators

Most common navigation tasks in human environments require auxiliary arm interactions, e.g. opening doors, pressing buttons and pushing obstacles away. This type of navigation tasks, which we call Interactive Navigation, requires the use of mobile manipulators: mobile bases with manipulation capabilities... (read more)

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