From Agile Ground to Aerial Navigation: Learning from Learned Hallucination
Zizhao Wang,Xuesu Xiao,Alexander J Nettekoven,Kadhiravan Umasankar,Anika Singh,Sriram Bommakanti,Ufuk Topcu,Peter Stone,Zizhao Wang,Xuesu Xiao,Alexander J Nettekoven,Kadhiravan Umasankar,Anika Singh,Sriram Bommakanti,Ufuk Topcu,Peter Stone
This paper presents a self-supervised Learning from Learned Hallucination (LfLH) method to learn fast and reactive motion planners for ground and aerial robots to navigate through highly constrained environments. The recent Learning from Hallucination (LfH) paradigm for autonomous navigation executes motion plans by random exploration in completely safe obstacle-free spaces, uses hand-crafted hall...
