352 citations · 433 across the 7 of their papers we have counts for
7 papers
TransSC: Transformer-based Shape Completion for Grasp Evaluation
Wenkai Chen, Hongzhuo Liang, Zhaopeng Chen +2
Currently, robotic grasping methods based on sparse partial point clouds have attained a great grasping performance on various objects while they often generate wrong grasping cand…
Self-Adapting Recurrent Models for Object Pushing from Learning in Simulation
Lin Cong, Michael Görner, Philipp Ruppel +3
Planar pushing remains a challenging research topic, where building the dynamic model of the interaction is the core issue. Even an accurate analytical dynamic model is inherently…
A Mobile Robot Hand-Arm Teleoperation System by Vision and IMU
Shuang Li, Jiaxi Jiang, Philipp Ruppel +5
In this paper, we present a multimodal mobile teleoperation system that consists of a novel vision-based hand pose regression network (Transteleop) and an IMU-based arm tracking me…
Robust Robotic Pouring using Audition and Haptics
Hongzhuo Liang, Chuangchuang Zhou, Shuang Li +6
Robust and accurate estimation of liquid height lies as an essential part of pouring tasks for service robots. However, vision-based methods often fail in occluded conditions while…
Making Sense of Audio Vibration for Liquid Height Estimation in Robotic Pouring
Hongzhuo Liang, Shuang Li, Xiaojian Ma +4
In this paper, we focus on the challenging perception problem in robotic pouring. Most of the existing approaches either leverage visual or haptic information. However, these techn…
Vision-based Teleoperation of Shadow Dexterous Hand using End-to-End Deep Neural Network
Shuang Li, Xiaojian Ma, Hongzhuo Liang +5
In this paper, we present TeachNet, a novel neural network architecture for intuitive and markerless vision-based teleoperation of dexterous robotic hands. Robot joint angles are d…
PointNetGPD: Detecting Grasp Configurations from Point Sets
Hongzhuo Liang, Xiaojian Ma, Shuang Li +5
In this paper, we propose an end-to-end grasp evaluation model to address the challenging problem of localizing robot grasp configurations directly from the point cloud. Compared t…