4 citations · 6 across the 4 of their papers we have counts for
5 papers · 1 filter
Language-driven Grasp Detection with Mask-guided Attention
Tuan Van Vo, Minh Nhat Vu, Baoru Huang +4
Grasp detection is an essential task in robotics with various industrial applications. However, traditional methods often struggle with occlusions and do not utilize language for g…
Lightweight Language-driven Grasp Detection using Conditional Consistency Model
Nghia Nguyen, Minh Nhat Vu, Baoru Huang +4
Language-driven grasp detection is a fundamental yet challenging task in robotics with various industrial applications. In this work, we present a new approach for language-driven…
Open-Vocabulary Affordance Detection using Knowledge Distillation and Text-Point Correlation
Tuan Van Vo, Minh Nhat Vu, Baoru Huang +4
Affordance detection presents intricate challenges and has a wide range of robotic applications. Previous works have faced limitations such as the complexities of 3D object shapes,…
Language-Conditioned Affordance-Pose Detection in 3D Point Clouds
Toan Nguyen, Minh Nhat Vu, Baoru Huang +6
Affordance detection and pose estimation are of great importance in many robotic applications. Their combination helps the robot gain an enhanced manipulation capability, in which…
Grasp-Anything: Large-scale Grasp Dataset from Foundation Models
An Dinh Vuong, Minh Nhat Vu, Hieu Le +5
Foundation models such as ChatGPT have made significant strides in robotic tasks due to their universal representation of real-world domains. In this paper, we leverage foundation…