ResearchTrend.AI
  • Communities
  • Connect sessions
  • AI calendar
  • Organizations
  • Join Slack
  • Contact Sales
Papers
Communities
Social Events
Terms and Conditions
Pricing
Contact Sales
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2026 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1710.05512
  4. Cited By
The Feeling of Success: Does Touch Sensing Help Predict Grasp Outcomes?
v1v2 (latest)

The Feeling of Success: Does Touch Sensing Help Predict Grasp Outcomes?

16 October 2017
Roberto Calandra
Andrew Owens
M. Upadhyaya
Wenzhen Yuan
Justin Lin
Edward H. Adelson
Sergey Levine
ArXiv (abs)PDFHTML

Papers citing "The Feeling of Success: Does Touch Sensing Help Predict Grasp Outcomes?"

22 / 122 papers shown
Non-Matrix Tactile Sensors: How Can Be Exploited Their Local
  Connectivity For Predicting Grasp Stability?
Non-Matrix Tactile Sensors: How Can Be Exploited Their Local Connectivity For Predicting Grasp Stability?
Brayan S. Zapata-Impata
P. Gil
Fernando Torres Medina
93
21
0
14 Sep 2018
3D Shape Perception from Monocular Vision, Touch, and Shape Priors
3D Shape Perception from Monocular Vision, Touch, and Shape Priors
Shaoxiong Wang
Jiajun Wu
Xingyuan Sun
Wenzhen Yuan
William T. Freeman
J. Tenenbaum
Edward H. Adelson
MDE
182
129
0
09 Aug 2018
Robot Learning in Homes: Improving Generalization and Reducing Dataset
  Bias
Robot Learning in Homes: Improving Generalization and Reducing Dataset BiasNeural Information Processing Systems (NeurIPS), 2018
Abhinav Gupta
Adithyavairavan Murali
Dhiraj Gandhi
Lerrel Pinto
326
158
0
18 Jul 2018
In-Hand Object Stabilization by Independent Finger Control
In-Hand Object Stabilization by Independent Finger Control
Filipe Veiga
B. Edin
Jan Peters
127
20
0
12 Jun 2018
More Than a Feeling: Learning to Grasp and Regrasp using Vision and
  Touch
More Than a Feeling: Learning to Grasp and Regrasp using Vision and Touch
Roberto Calandra
Andrew Owens
Dinesh Jayaraman
Justin Lin
Wenzhen Yuan
Jitendra Malik
Edward H. Adelson
Sergey Levine
331
373
0
28 May 2018
Learning to Grasp Without Seeing
Learning to Grasp Without Seeing
Adithyavairavan Murali
Yin Li
Dhiraj Gandhi
Abhinav Gupta
SSL
215
70
0
10 May 2018
Learning Awareness Models
Learning Awareness Models
Brandon Amos
Laurent Dinh
Serkan Cabi
Thomas Rothörl
Sergio Gomez Colmenarejo
Alistair Muldal
Tom Erez
Yuval Tassa
Nando de Freitas
Misha Denil
290
47
0
17 Apr 2018
Tactile Regrasp: Grasp Adjustments via Simulated Tactile Transformations
Tactile Regrasp: Grasp Adjustments via Simulated Tactile Transformations
F. Hogan
Maria Bauzá
Oleguer Canal
E. Donlon
Alberto Rodriguez
192
107
0
05 Mar 2018
GelSlim: A High-Resolution, Compact, Robust, and Calibrated
  Tactile-sensing Finger
GelSlim: A High-Resolution, Compact, Robust, and Calibrated Tactile-sensing FingerIEEE/RJS International Conference on Intelligent RObots and Systems (IROS), 2018
E. Donlon
Siyuan Dong
Melody Liu
Jianhua Li
Edward H. Adelson
Alberto Rodriguez
145
322
0
01 Mar 2018
Slip Detection with Combined Tactile and Visual Information
Slip Detection with Combined Tactile and Visual InformationIEEE International Conference on Robotics and Automation (ICRA), 2018
Jianhua Li
Siyuan Dong
Edward H. Adelson
95
152
0
27 Feb 2018
Improved GelSight Tactile Sensor for Measuring Geometry and Slip
Improved GelSight Tactile Sensor for Measuring Geometry and Slip
Siyuan Dong
Wenzhen Yuan
Edward H. Adelson
MDE
122
244
0
02 Aug 2017
Learning a visuomotor controller for real world robotic grasping using
  simulated depth images
Learning a visuomotor controller for real world robotic grasping using simulated depth imagesConference on Robot Learning (CoRL), 2017
Ulrich Viereck
A. T. Pas
Kate Saenko
Robert Platt
258
193
0
14 Jun 2017
Shape-independent Hardness Estimation Using Deep Learning and a GelSight
  Tactile Sensor
Shape-independent Hardness Estimation Using Deep Learning and a GelSight Tactile Sensor
Wenzhen Yuan
Chenzhuo Zhu
Andrew Owens
M. Srinivasan
Edward H. Adelson
103
194
0
13 Apr 2017
Connecting Look and Feel: Associating the visual and tactile properties
  of physical materials
Connecting Look and Feel: Associating the visual and tactile properties of physical materials
Wenzhen Yuan
Shaoxiong Wang
Siyuan Dong
Edward H. Adelson
168
136
0
12 Apr 2017
Deep Learning a Grasp Function for Grasping under Gripper Pose
  Uncertainty
Deep Learning a Grasp Function for Grasping under Gripper Pose Uncertainty
Edward Johns
Stefan Leutenegger
Andrew J. Davison
OOD
177
264
0
07 Aug 2016
Learning Hand-Eye Coordination for Robotic Grasping with Deep Learning
  and Large-Scale Data Collection
Learning Hand-Eye Coordination for Robotic Grasping with Deep Learning and Large-Scale Data Collection
Sergey Levine
P. Pastor
A. Krizhevsky
Deirdre Quillen
1.1K
2,147
0
07 Mar 2016
High precision grasp pose detection in dense clutter
High precision grasp pose detection in dense clutter
Marcus Gualtieri
A. T. Pas
Kate Saenko
Robert Platt
3DPC
248
317
0
04 Mar 2016
Deep Residual Learning for Image Recognition
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
3.7K
216,574
0
10 Dec 2015
Supersizing Self-supervision: Learning to Grasp from 50K Tries and 700
  Robot Hours
Supersizing Self-supervision: Learning to Grasp from 50K Tries and 700 Robot Hours
Lerrel Pinto
Abhinav Gupta
SSL
218
1,189
0
23 Sep 2015
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic OptimizationInternational Conference on Learning Representations (ICLR), 2014
Diederik P. Kingma
Jimmy Ba
ODL
4.7K
161,218
0
22 Dec 2014
Data-Driven Grasp Synthesis - A Survey
Data-Driven Grasp Synthesis - A SurveyIEEE Transactions on robotics (IEEE TRO), 2013
Jeannette Bohg
A. Morales
Tamim Asfour
Danica Kragic
317
1,070
0
10 Sep 2013
Deep Learning for Detecting Robotic Grasps
Deep Learning for Detecting Robotic Grasps
Ian Lenz
Honglak Lee
Ashutosh Saxena
510
1,703
0
16 Jan 2013
Previous
123