GAPLE: Generalizable Approaching Policy LEarning for Robotic Object Searching in Indoor Environment

21 Sep 2018Xin YeZhe LinJoon-Young LeeJianming ZhangShibin ZhengYezhou Yang

We study the problem of learning a generalizable action policy for an intelligent agent to actively approach an object of interest in an indoor environment solely from its visual inputs. While scene-driven or recognition-driven visual navigation has been widely studied, prior efforts suffer severely from the limited generalization capability... (read more)

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