Papers
Communities
Events
Blog
Pricing
Search
Open menu
Home
Papers
1901.02992
Cited By
Modeling Grasp Type Improves Learning-Based Grasp Planning
10 January 2019
Qingkai Lu
Tucker Hermans
Re-assign community
ArXiv
PDF
HTML
Papers citing
"Modeling Grasp Type Improves Learning-Based Grasp Planning"
9 / 9 papers shown
Title
Planning Visual-Tactile Precision Grasps via Complementary Use of Vision and Touch
Martin Matak
Tucker Hermans
34
14
0
16 Dec 2022
Where To Start? Transferring Simple Skills to Complex Environments
Vitalis Vosylius
Edward Johns
32
12
0
12 Dec 2022
Generating Task-specific Robotic Grasps
Mark Robson
Mohan Sridharan
26
0
0
20 Mar 2022
Simulation-based Bayesian inference for multi-fingered robotic grasping
Norman Marlier
O. Bruls
Gilles Louppe
58
6
0
29 Sep 2021
Multi-Fingered Active Grasp Learning
Qingkai Lu
Mark Van der Merwe
Tucker Hermans
29
32
0
06 Jun 2020
MAT: Multi-Fingered Adaptive Tactile Grasping via Deep Reinforcement Learning
Bohan Wu
Iretiayo Akinola
Jacob Varley
Peter K. Allen
36
53
0
10 Sep 2019
Learning better generative models for dexterous, single-view grasping of novel objects
Marek Kopicki
D. Belter
J. Wyatt
29
32
0
13 Jul 2019
A Review of Robot Learning for Manipulation: Challenges, Representations, and Algorithms
Oliver Kroemer
S. Niekum
George Konidaris
43
356
0
06 Jul 2019
Generating Grasp Poses for a High-DOF Gripper Using Neural Networks
Min Liu
Zherong Pan
Kai Xu
Kanishka Ganguly
Tianyi Zhou
49
76
0
01 Mar 2019
1