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Our RA-L Paper Presented at IEEE IROS 2021: A Sim-to-Real Pipeline for Deep Reinforcement Learning for Autonomous Robot Navigation in Cluttered Rough Terrain
Our ASBLab PhD member Aaron Tan presented our RA-L/IROS paper entitled "A Sim-to-Real Pipeline for Deep Reinforcement Learning for Autonomous Robot Navigation in Cluttered Rough Terrain," at IEEE IROS 2021 this week. The video can be found on our youtube channel: