GLOVER: Generalizable open-vocabulary affordance reasoning for task-oriented gras**

T Ma, Z Wang, J Zhou, M Wang, J Liang - arxiv preprint arxiv:2411.12286, 2024 - arxiv.org
Inferring affordable (ie, graspable) parts of arbitrary objects based on human specifications
is essential for robots advancing toward open-vocabulary manipulation. Current grasp …

Mitigating the Human-Robot Domain Discrepancy in Visual Pre-training for Robotic Manipulation

J Zhou, T Ma, KY Lin, R Qiu, Z Wang… - arxiv preprint arxiv …, 2024 - arxiv.org
Learning generalizable visual dynamic representation across different embodied
environments is crucial for real-world robotic manipulation. As the scale and diversity of …

ET-SEED: Efficient Trajectory-Level SE (3) Equivariant Diffusion Policy

C Tie, Y Chen, R Wu, B Dong, Z Li, C Gao… - arxiv preprint arxiv …, 2024 - arxiv.org
Imitation learning, eg, diffusion policy, has been proven effective in various robotic
manipulation tasks. However, extensive demonstrations are required for policy robustness …

[PDF][PDF] Vision-Language-Conditioned Learning Policy for Robotic Manipulation

S Liu, Z Liu, L Wang, XV Wang - researchgate.net
Humans often use natural language instructions to control and interact with robots for task
execution. This presents a significant challenge for robots, as they have to not only …

ET-SEED: EFFICIENT TRAJECTORY-LEVEL SE (3) EQUIVARIANT DIFFUSION POLICY

E Multi-Modality - openreview.net
Imitation learning, eg, diffusion policy, has been proven effective in various robotic
manipulation tasks. However, extensive demonstrations are required for policy robustness …