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1809.10093
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Pay attention! - Robustifying a Deep Visuomotor Policy through Task-Focused Attention
26 September 2018
P. Abolghasemi
Amir Mazaheri
M. Shah
Ladislau Bölöni
AAML
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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
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
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
Brent A. Griffin
39
7
0
28 Jan 2022
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
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
Marzieh Edraki
Nazmul Karim
Nazanin Rahnavard
Ajmal Mian
M. Shah
AAML
28
13
0
16 Jul 2020
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
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
Stephen James
Andrew J. Davison
Edward Johns
162
275
0
07 Jul 2017
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