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Language Model-Based Paired Variational Autoencoders for Robotic
  Language Learning
v1v2 (latest)

Language Model-Based Paired Variational Autoencoders for Robotic Language Learning

IEEE Transactions on Cognitive and Developmental Systems (IEEE TCDS), 2022
17 January 2022
Ozan Ozdemir
Matthias Kerzel
C. Weber
Jae Hee Lee
S. Wermter
    LM&Ro
ArXiv (abs)PDFHTML

Papers citing "Language Model-Based Paired Variational Autoencoders for Robotic Language Learning"

5 / 5 papers shown
A Survey on Imitation Learning for Contact-Rich Tasks in Robotics
A Survey on Imitation Learning for Contact-Rich Tasks in Robotics
T. Tsuji
Y. Kato
Gokhan Solak
Heng Zhang
Tadej Petrič
Francesco Nori
Arash Ajoudani
257
20
0
16 Jun 2025
Effect of Adaptive Communication Support on LLM-powered Human-Robot Collaboration
Effect of Adaptive Communication Support on LLM-powered Human-Robot Collaboration
Shipeng Liu
FNU Shrutika
Boshen Zhang
Zhehui Huang
Feifei Qian
Feifei Qian
452
1
0
26 Nov 2024
Details Make a Difference: Object State-Sensitive Neurorobotic Task
  Planning
Details Make a Difference: Object State-Sensitive Neurorobotic Task PlanningInternational Conference on Artificial Neural Networks (ICANN), 2024
Xiaowen Sun
Xufeng Zhao
Jae Hee Lee
Wenhao Lu
Matthias Kerzel
Stefan Wermter
LM&Ro
260
4
0
14 Jun 2024
EvoText: Enhancing Natural Language Generation Models via
  Self-Escalation Learning for Up-to-Date Knowledge and Improved Performance
EvoText: Enhancing Natural Language Generation Models via Self-Escalation Learning for Up-to-Date Knowledge and Improved PerformanceApplied Sciences (Appl. Sci.), 2023
Zheng Yuan
HU Xue
Chuxu Zhang
Yongming Liu
VLM
302
1
0
08 Feb 2023
Xception: Deep Learning with Depthwise Separable Convolutions
Xception: Deep Learning with Depthwise Separable ConvolutionsComputer Vision and Pattern Recognition (CVPR), 2016
François Chollet
MDEBDLPINN
3.6K
17,346
0
07 Oct 2016
1
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