Zobrazeno 1 - 1
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pro vyhledávání: '"Gurha, Arnav"'
Autor:
Tao, Stone, Xiang, Fanbo, Shukla, Arth, Qin, Yuzhe, Hinrichsen, Xander, Yuan, Xiaodi, Bao, Chen, Lin, Xinsong, Liu, Yulin, Chan, Tse-kai, Gao, Yuan, Li, Xuanlin, Mu, Tongzhou, Xiao, Nan, Gurha, Arnav, Huang, Zhiao, Calandra, Roberto, Chen, Rui, Luo, Shan, Su, Hao
Simulation has enabled unprecedented compute-scalable approaches to robot learning. However, many existing simulation frameworks typically support a narrow range of scenes/tasks and lack features critical for scaling generalizable robotics and sim2re
Externí odkaz:
http://arxiv.org/abs/2410.00425