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pro vyhledávání: '"Sun, Mengti"'
This work presents an instance-agnostic learning framework that fuses vision with dynamics to simultaneously learn shape, pose trajectories, and physical properties via the use of geometry as a shared representation. Unlike many contact learning appr
Externí odkaz:
http://arxiv.org/abs/2309.05832
Autor:
Gilroy, Scott, Lau, Derek, Yang, Lizhi, Izaguirre, Ed, Biermayer, Kristen, Xiao, Anxing, Sun, Mengti, Agrawal, Ayush, Zeng, Jun, Li, Zhongyu, Sreenath, Koushil
Quadrupeds are strong candidates for navigating challenging environments because of their agile and dynamic designs. This paper presents a methodology that extends the range of exploration for quadrupedal robots by creating an end-to-end navigation f
Externí odkaz:
http://arxiv.org/abs/2107.00773