1 citations · 1 across the 2 of their papers we have counts for
5 papers
Learning 6-DoF Task-oriented Grasp Detection via Implicit Estimation and Visual Affordance
Wenkai Chen, Hongzhuo Liang, Zhaopeng Chen +2
Currently, task-oriented grasp detection approaches are mostly based on pixel-level affordance detection and semantic segmentation. These pixel-level approaches heavily rely on the…
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…
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…