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. 1809.10093
  4. Cited By
Pay attention! - Robustifying a Deep Visuomotor Policy through
  Task-Focused Attention

Pay attention! - Robustifying a Deep Visuomotor Policy through Task-Focused Attention

26 September 2018
P. Abolghasemi
Amir Mazaheri
M. Shah
Ladislau Bölöni
    AAML
ArXivPDFHTML

Papers citing "Pay attention! - Robustifying a Deep Visuomotor Policy through Task-Focused Attention"

9 / 9 papers shown
Title
Perception Stitching: Zero-Shot Perception Encoder Transfer for Visuomotor Robot Policies
Perception Stitching: Zero-Shot Perception Encoder Transfer for Visuomotor Robot Policies
Pingcheng Jian
Easop Lee
Zachary I. Bell
Michael M. Zavlanos
Boyuan Chen
94
1
0
03 Jan 2025
Modularity through Attention: Efficient Training and Transfer of
  Language-Conditioned Policies for Robot Manipulation
Modularity through Attention: Efficient Training and Transfer of Language-Conditioned Policies for Robot Manipulation
Yifan Zhou
Shubham D. Sonawani
Mariano Phielipp
Simon Stepputtis
H. B. Amor
LM&Ro
33
27
0
08 Dec 2022
Mobile Robot Manipulation using Pure Object Detection
Mobile Robot Manipulation using Pure Object Detection
Brent A. Griffin
39
7
0
28 Jan 2022
Video Generation from Text Employing Latent Path Construction for
  Temporal Modeling
Video Generation from Text Employing Latent Path Construction for Temporal Modeling
Amir Mazaheri
M. Shah
30
8
0
29 Jul 2021
Language-Conditioned Imitation Learning for Robot Manipulation Tasks
Language-Conditioned Imitation Learning for Robot Manipulation Tasks
Simon Stepputtis
Joseph Campbell
Mariano Phielipp
Stefan Lee
Chitta Baral
H. B. Amor
LM&Ro
124
196
0
22 Oct 2020
Odyssey: Creation, Analysis and Detection of Trojan Models
Odyssey: Creation, Analysis and Detection of Trojan Models
Marzieh Edraki
Nazmul Karim
Nazanin Rahnavard
Ajmal Mian
M. Shah
AAML
28
13
0
16 Jul 2020
TinyVIRAT: Low-resolution Video Action Recognition
TinyVIRAT: Low-resolution Video Action Recognition
Ugur Demir
Yogesh S Rawat
M. Shah
33
36
0
14 Jul 2020
On the Similarity of Deep Learning Representations Across Didactic and
  Adversarial Examples
On the Similarity of Deep Learning Representations Across Didactic and Adversarial Examples
P. Douglas
F. Farahani
AAML
19
5
0
17 Feb 2020
Transferring End-to-End Visuomotor Control from Simulation to Real World
  for a Multi-Stage Task
Transferring End-to-End Visuomotor Control from Simulation to Real World for a Multi-Stage Task
Stephen James
Andrew J. Davison
Edward Johns
162
275
0
07 Jul 2017
1