no code implementations • 28 Dec 2023 • Chuan Wen, Xingyu Lin, John So, Kai Chen, Qi Dou, Yang Gao, Pieter Abbeel
Learning from demonstration is a powerful method for teaching robots new skills, and having more demonstration data often improves policy learning.
no code implementations • 7 Jul 2023 • Xingyu Lin, John So, Sashwat Mahalingam, Fangchen Liu, Pieter Abbeel
In this work, we present a focused study of the generalization capabilities of the pre-trained visual representations at the categorical level.
1 code implementation • 25 Oct 2022 • John So, Amber Xie, Sunggoo Jung, Jeffrey Edlund, Rohan Thakker, Ali Agha-mohammadi, Pieter Abbeel, Stephen James
In this paper, we address this challenge by presenting Sim2Seg, a re-imagining of RCAN that crosses the visual reality gap for off-road autonomous driving, without using any real-world data.