Abstract: For long-horizon multi-task robotic manipulation, hierarchical approaches provide an effective way to combine high-level language-based task planning with low-level vision-language based sub ...
Learning to See and Act: Task-Aware Virtual View Exploration for Robotic Manipulation Official implementation of TVVE Yongjie Bai, Zhouxia Wang, Yang Liu, Kaijun Luo, Yifan Wen, Mingtong Dai, Weixing ...
Abstract: Robotic learning from sparse rewards can be a considerable challenge due to large amounts of data required for mastering a task. We explore the application of curriculum learning (CL) ...
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