activity
20152021
most citedTowards navigation without precise localization: Weakly supervised learning of goal-directed navigation cost map

10 citations · 37 across the 15 of their papers we have counts for

collaborators

28 papers

cs.RO2021

Toward Consistent Drift-free Visual Inertial Localization on Keyframe Based Map

Zhuqing Zhang, Yanmei Jiao, Shoudong Huang +2

Global localization is essential for robots to perform further tasks like navigation. In this paper, we propose a new framework to perform global localization based on a filter-bas…

cs.RO20211 cited

Neural Motion Prediction for In-flight Uneven Object Catching

Hongxiang Yu, Dashun Guo, Huan Yin +4

In-flight objects capture is extremely challenging. The robot is required to complete trajectory prediction, interception position calculation and motion planning in sequence withi…

cs.CV2021

Learn to Differ: Sim2Real Small Defection Segmentation Network

Zexi Chen, Zheyuan Huang, Yunkai Wang +3

Recent studies on deep-learning-based small defection segmentation approaches are trained in specific settings and tend to be limited by fixed context. Throughout the training, the…

cs.CV2020

3D Point-to-Keypoint Voting Network for 6D Pose Estimation

Weitong Hua, Jiaxin Guo, Yue Wang +1

Object 6D pose estimation is an important research topic in the field of computer vision due to its wide application requirements and the challenges brought by complexity and chang…

cs.RO20205 cited

Learning World Transition Model for Socially Aware Robot Navigation

Yuxiang Cui, Haodong Zhang, Yue Wang +1

Moving in dynamic pedestrian environments is one of the important requirements for autonomous mobile robots. We present a model-based reinforcement learning approach for robots to…

cs.RO20203 cited

Dynamic Movement Primitive based Motion Retargeting for Dual-Arm Sign Language Motions

Yuwei Liang, Weijie Li, Yue Wang +3

We aim to develop an efficient programming method for equipping service robots with the skill of performing sign language motions. This paper addresses the problem of transferring…