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of 289
pro vyhledávání: '"Yang, Yanchao"'
Due to the difficulty of acquiring extensive real-world data, robot simulation has become crucial for parallel training and sim-to-real transfer, highlighting the importance of scalable simulated robotic tasks. Foundation models have demonstrated imp
Externí odkaz:
http://arxiv.org/abs/2410.08172
Autor:
Bu, Qingwen, Zeng, Jia, Chen, Li, Yang, Yanchao, Zhou, Guyue, Yan, Junchi, Luo, Ping, Cui, Heming, Ma, Yi, Li, Hongyang
Despite significant progress in robotics and embodied AI in recent years, deploying robots for long-horizon tasks remains a great challenge. Majority of prior arts adhere to an open-loop philosophy and lack real-time feedback, leading to error accumu
Externí odkaz:
http://arxiv.org/abs/2409.09016
Autor:
Zhou, Pei, Yang, Yanchao
We aim to discover manipulation concepts embedded in the unannotated demonstrations, which are recognized as key physical states. The discovered concepts can facilitate training manipulation policies and promote generalization. Current methods relyin
Externí odkaz:
http://arxiv.org/abs/2407.15086
DISCO: Embodied Navigation and Interaction via Differentiable Scene Semantics and Dual-level Control
Building a general-purpose intelligent home-assistant agent skilled in diverse tasks by human commands is a long-term blueprint of embodied AI research, which poses requirements on task planning, environment modeling, and object interaction. In this
Externí odkaz:
http://arxiv.org/abs/2407.14758
3D surface reconstruction from images is essential for numerous applications. Recently, Neural Radiance Fields (NeRFs) have emerged as a promising framework for 3D modeling. However, NeRFs require accurate camera poses as input, and existing methods
Externí odkaz:
http://arxiv.org/abs/2407.12667
3D surface reconstruction from multi-view images is essential for scene understanding and interaction. However, complex indoor scenes pose challenges such as ambiguity due to limited observations. Recent implicit surface representations, such as Neur
Externí odkaz:
http://arxiv.org/abs/2407.12661
3D Gaussians, as a low-level scene representation, typically involve thousands to millions of Gaussians. This makes it difficult to control the scene in ways that reflect the underlying dynamic structure, where the number of independent entities is t
Externí odkaz:
http://arxiv.org/abs/2406.05897
We focus on the self-supervised discovery of manipulation concepts that can be adapted and reassembled to address various robotic tasks. We propose that the decision to conceptualize a physical procedure should not depend on how we name it (semantics
Externí odkaz:
http://arxiv.org/abs/2404.10606
Skeleton-based motion representations are robust for action localization and understanding for their invariance to perspective, lighting, and occlusion, compared with images. Yet, they are often ambiguous and incomplete when taken out of context, eve
Externí odkaz:
http://arxiv.org/abs/2403.07354
Estimating mutual correlations between random variables or data streams is essential for intelligent behavior and decision-making. As a fundamental quantity for measuring statistical relationships, mutual information has been extensively studied and
Externí odkaz:
http://arxiv.org/abs/2402.10158