3 papers
cs.RO2025
Improving Robotic Manipulation with Efficient Geometry-Aware Vision Encoder
An Dinh Vuong, Minh Nhat Vu, Ian Reid
Existing RGB-based imitation learning approaches typically employ traditional vision encoders such as ResNet or ViT, which lack explicit 3D reasoning capabilities. Recent geometry-…
cs.RO2025
Action Tokenizer Matters in In-Context Imitation Learning
An Dinh Vuong, Minh Nhat Vu, Dong An +1
In-context imitation learning (ICIL) is a new paradigm that enables robots to generalize from demonstrations to unseen tasks without retraining. A well-structured action representa…
cs.RO2024
GraspMamba: A Mamba-based Language-driven Grasp Detection Framework with Hierarchical Feature Learning
Huy Hoang Nguyen, An Vuong, Anh Nguyen +2
Grasp detection is a fundamental robotic task critical to the success of many industrial applications. However, current language-driven models for this task often struggle with clu…