22 citations · 87 across the 18 of their papers we have counts for
18 papers
Lifting 2D Human Pose to 3D with Domain Adapted 3D Body Concept
Qiang Nie, Ziwei Liu, Yunhui Liu
Lifting the 2D human pose to the 3D pose is an important yet challenging task. Existing 3D pose estimation suffers from 1) the inherent ambiguity between the 2D and 3D data, and 2)…
Fuzzy-Depth Objects Grasping Based on FSG Algorithm and a Soft Robotic Hand
Hanwen Cao, Junda Huang, Yichuan Li +2
Autonomous grasping is an important factor for robots physically interacting with the environment and executing versatile tasks. However, a universally applicable, cost-effective,…
Deformation Control of a Deformable Object Based on Visual and Tactile Feedback
Yuhao Guo, Xin Jiang, Yunhui Liu
In this paper, we presented a new method for deformation control of deformable objects, which utilizes both visual and tactile feedback. At present, manipulation of deformable obje…
Pole-like Objects Mapping and Long-Term Robot Localization in Dynamic Urban Scenarios
Zhihao Wang, Silin Li, Ming Cao +2
Localization on 3D data is a challenging task for unmanned vehicles, especially in long-term dynamic urban scenarios. Due to the generality and long-term stability, the pole-like o…
Simulation Platform for Autonomous Aerial Manipulation in Dynamic Environments
Fengyu Quan, Huisheng Huang, Hongjie Zeng +2
The aerial manipulator (AM) is a systematic operational robotic platform in high standard on algorithm robustness. Directly deploying the algorithms to the practical system will ta…
Unsupervised 3D Human Pose Representation with Viewpoint and Pose Disentanglement
Qiang Nie, Ziwei Liu, Yunhui Liu
Learning a good 3D human pose representation is important for human pose related tasks, e.g. human 3D pose estimation and action recognition. Within all these problems, preserving…
Measuring Generalisation to Unseen Viewpoints, Articulations, Shapes and Objects for 3D Hand Pose Estimation under Hand-Object Interaction
Anil Armagan, Guillermo Garcia-Hernando, Seungryul Baek +32
We study how well different types of approaches generalise in the task of 3D hand pose estimation under single hand scenarios and hand-object interaction. We show that the accuracy…
Modelling and Dynamic Tracking Control of Industrial Vehicles with Tractor-trailer Structure
Hongchao Zhao, Zhe Liu, Zhiqiang Li +4
Existing works on control of tractor-trailers systems only consider the kinematics model without taking dynamics into account. Also, most of them treat the issue as a pure control…
Pose Estimation for Texture-less Shiny Objects in a Single RGB Image Using Synthetic Training Data
Chen Chen, Xin Jiang, Weiguo Zhou +1
In the industrial domain, the pose estimation of multiple texture-less shiny parts is a valuable but challenging task. In this particular scenario, it is impractical to utilize key…
Object grasping planning for the situation when soft and rigid objects are mixed together
Xiaoman Wang, Xin Jiang, Jie Zhao +2
In this paper, we propose a object detection method expressed as rotated bounding box to solve grasping challenge in the scenes where rigid objects and soft objects are mixed toget…
Assembly of randomly placed parts realized by using only one robot arm with a general parallel-jaw gripper
Jie Zhao, Xin Jiang, Xiaoman Wang +2
In industry assembly lines, parts feeding machines are widely employed as the prologue of the whole procedure. They play the role of sorting the parts randomly placed in bins to th…
Self-supervised Spatio-temporal Representation Learning for Videos by Predicting Motion and Appearance Statistics
Jiangliu Wang, Jianbo Jiao, Linchao Bao +3
We address the problem of video representation learning without human-annotated labels. While previous efforts address the problem by designing novel self-supervised tasks using vi…
Coordinating Large-Scale Robot Networks with Motion and Communication Uncertainties for Logistics Applications
Zhe Liu, Hesheng Wang, Shunbo Zhou +2
In this paper, we focus on the problem of task allocation, cooperative path planning and motion coordination of the large-scale system with thousands of robots, aiming for practica…
SeqLPD: Sequence Matching Enhanced Loop-Closure Detection Based on Large-Scale Point Cloud Description for Self-Driving Vehicles
Zhe Liu, Chuanzhe Suo, Shunbo Zhou +4
Place recognition and loop-closure detection are main challenges in the localization, mapping and navigation tasks of self-driving vehicles. In this paper, we solve the loop-closur…
Development of an Autonomous Sanding Robot with Structured-Light Technology
Yingxin Huo, Diancheng Chen, Xiang Li +2
Large demand for robotics and automation has been reflected in the sanding works, as current manual operations are labor-intensive, without consistent quality, and also subject to…
Vision Based Picking System for Automatic Express Package Dispatching
Shengfan Wang, Xin Jiang, Jie Zhao +3
This paper presents a vision based robotic system to handle the picking problem involved in automatic express package dispatching. By utilizing two RealSense RGB-D cameras and one…
Efficient Fully Convolution Neural Network for Generating Pixel Wise Robotic Grasps With High Resolution Images
Shengfan Wang, Xin Jiang, Jie Zhao +3
This paper presents an efficient neural network model to generate robotic grasps with high resolution images. The proposed model uses fully convolution neural network to generate r…
LPD-Net: 3D Point Cloud Learning for Large-Scale Place Recognition and Environment Analysis
Zhe Liu, Shunbo Zhou, Chuanzhe Suo +4
Point cloud based place recognition is still an open issue due to the difficulty in extracting local features from the raw 3D point cloud and generating the global descriptor, and…