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:

https://www.youtube.com/watch?v=GuE7cfknckg&t=2s