Learning Instruction-Guided Manipulation Affordance via Large Models for Embodied Robotic Tasks
We study the task of language instruction-guided robotic manipulation, in which an
embodied robot is supposed to manipulate the target objects based on the language …
embodied robot is supposed to manipulate the target objects based on the language …
DepWiGNN: A Depth-wise Graph Neural Network for Multi-hop Spatial Reasoning in Text
Spatial reasoning in text plays a crucial role in various real-world applications. Existing
approaches for spatial reasoning typically infer spatial relations from pure text, which …
approaches for spatial reasoning typically infer spatial relations from pure text, which …
BBSEA: An Exploration of Brain-Body Synchronization for Embodied Agents
Embodied agents capable of complex physical skills can improve productivity, elevate life
quality, and reshape human-machine collaboration. We aim at autonomous training of …
quality, and reshape human-machine collaboration. We aim at autonomous training of …
Stimulating Imagination: Towards General-purpose Object Rearrangement
J Wu, J Gu, X Ma, C Tang, J Chen - arXiv preprint arXiv:2408.01655, 2024 - arxiv.org
General-purpose object placement is a fundamental capability of an intelligent generalist
robot, ie, being capable of rearranging objects following human instructions even in novel …
robot, ie, being capable of rearranging objects following human instructions even in novel …