4 citations · 11 across the 5 of their papers we have counts for
5 papers
Learning 6-DoF Fine-grained Grasp Detection Based on Part Affordance Grounding
Yaoxian Song, Penglei Sun, Piaopiao Jin +7
Robotic grasping is a fundamental ability for a robot to interact with the environment. Current methods focus on how to obtain a stable and reliable grasping pose in object level,…
Human-in-the-loop Robotic Grasping using BERT Scene Representation
Yaoxian Song, Penglei Sun, Pengfei Fang +3
Current NLP techniques have been greatly applied in different domains. In this paper, we propose a human-in-the-loop framework for robotic grasping in cluttered scenes, investigati…
Multimodal Aggregation Approach for Memory Vision-Voice Indoor Navigation with Meta-Learning
Liqi Yan, Dongfang Liu, Yaoxian Song +1
Vision and voice are two vital keys for agents' interaction and learning. In this paper, we present a novel indoor navigation model called Memory Vision-Voice Indoor Navigation (MV…
Deep Robotic Prediction with hierarchical RGB-D Fusion
Yaoxian Song, Jun Wen, Yuejiao Fei +1
Robotic arm grasping is a fundamental operation in robotic control task goals. Most current methods for robotic grasping focus on RGB-D policy in the table surface scenario or 3D p…
2.5D Image based Robotic Grasping
Song Yaoxian, Cheng Chun, Fei Yuejiao +2
We consider the problem of robotic grasping using depth + RGB information sampling from a real sensor. we design an encoder-decoder neural network to predict grasp policy in real t…