1 citations · 1 across the 1 of their papers we have counts for
3 papers
cs.RO2020★ 1 cited
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…
cs.RO2018
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…
cs.RO2018
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…