ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1601.02705
  4. Cited By
Robobarista: Learning to Manipulate Novel Objects via Deep Multimodal
  Embedding

Robobarista: Learning to Manipulate Novel Objects via Deep Multimodal Embedding

12 January 2016
Jaeyong Sung
Seok Hyun Jin
Ian Lenz
Ashutosh Saxena
    LM&Ro
ArXivPDFHTML

Papers citing "Robobarista: Learning to Manipulate Novel Objects via Deep Multimodal Embedding"

11 / 11 papers shown
Title
Learning Preferences for Manipulation Tasks from Online Coactive
  Feedback
Learning Preferences for Manipulation Tasks from Online Coactive Feedback
Ashesh Jain
Shikhar Sharma
Thorsten Joachims
Ashutosh Saxena
54
116
0
05 Jan 2016
Robobarista: Object Part based Transfer of Manipulation Trajectories
  from Crowd-sourcing in 3D Pointclouds
Robobarista: Object Part based Transfer of Manipulation Trajectories from Crowd-sourcing in 3D Pointclouds
Jaeyong Sung
Seok Hyun Jin
Ashutosh Saxena
LM&Ro
3DPC
56
71
0
13 Apr 2015
Learning Articulated Motions From Visual Demonstration
Learning Articulated Motions From Visual Demonstration
Sudeep Pillai
Matthew R. Walter
S. Teller
47
58
0
05 Feb 2015
Learning Contact-Rich Manipulation Skills with Guided Policy Search
Learning Contact-Rich Manipulation Skills with Guided Policy Search
Sergey Levine
Nolan Wagener
Pieter Abbeel
55
341
0
22 Jan 2015
A Probabilistic Framework for Learning Kinematic Models of Articulated
  Objects
A Probabilistic Framework for Learning Kinematic Models of Articulated Objects
Jürgen Sturm
C. Stachniss
Wolfram Burgard
56
137
0
16 Jan 2014
Exploiting Similarities among Languages for Machine Translation
Exploiting Similarities among Languages for Machine Translation
Tomas Mikolov
Quoc V. Le
Ilya Sutskever
53
1,594
0
17 Sep 2013
Synthesizing Manipulation Sequences for Under-Specified Tasks using
  Unrolled Markov Random Fields
Synthesizing Manipulation Sequences for Under-Specified Tasks using Unrolled Markov Random Fields
Jaeyong Sung
B. Selman
Ashutosh Saxena
38
22
0
24 Jun 2013
Deep Learning for Detecting Robotic Grasps
Deep Learning for Detecting Robotic Grasps
Ian Lenz
Honglak Lee
Ashutosh Saxena
84
1,636
0
16 Jan 2013
ADADELTA: An Adaptive Learning Rate Method
ADADELTA: An Adaptive Learning Rate Method
Matthew D. Zeiler
ODL
113
6,619
0
22 Dec 2012
Theano: new features and speed improvements
Theano: new features and speed improvements
Frédéric Bastien
Pascal Lamblin
Razvan Pascanu
James Bergstra
Ian Goodfellow
Arnaud Bergeron
Nicolas Bouchard
David Warde-Farley
Yoshua Bengio
75
1,420
0
23 Nov 2012
Unstructured Human Activity Detection from RGBD Images
Unstructured Human Activity Detection from RGBD Images
Jaeyong Sung
Colin Ponce
B. Selman
Ashutosh Saxena
60
565
0
01 Jul 2011
1