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A call for embodied AI

A call for embodied AI

6 February 2024
Giuseppe Paolo
Jonas Gonzalez-Billandon
Balázs Kégl
    LM&Ro
ArXivPDFHTML

Papers citing "A call for embodied AI"

10 / 10 papers shown
Title
TinyMA-IEI-PPO: Exploration Incentive-Driven Multi-Agent DRL with Self-Adaptive Pruning for Vehicular Embodied AI Agent Twins Migration
TinyMA-IEI-PPO: Exploration Incentive-Driven Multi-Agent DRL with Self-Adaptive Pruning for Vehicular Embodied AI Agent Twins Migration
Zhuoqi Zeng
Yuxiang Wei
Jiawen Kang
31
0
0
30 Apr 2025
How Do Artificial Intelligences Think? The Three Mathematico-Cognitive Factors of Categorical Segmentation Operated by Synthetic Neurons
How Do Artificial Intelligences Think? The Three Mathematico-Cognitive Factors of Categorical Segmentation Operated by Synthetic Neurons
Michael Pichat
William Pogrund
Armanush Gasparian
Paloma Pichat
Samuel Demarchi
Michael Veillet-Guillem
37
3
0
26 Dec 2024
Stem-OB: Generalizable Visual Imitation Learning with Stem-Like
  Convergent Observation through Diffusion Inversion
Stem-OB: Generalizable Visual Imitation Learning with Stem-Like Convergent Observation through Diffusion Inversion
Kaizhe Hu
Zihang Rui
Yao He
Yuyao Liu
Pu Hua
Huazhe Xu
33
1
0
07 Nov 2024
PAVLM: Advancing Point Cloud based Affordance Understanding Via
  Vision-Language Model
PAVLM: Advancing Point Cloud based Affordance Understanding Via Vision-Language Model
Shang-Ching Liu
Van-Nhiem Tran
Wenkai Chen
Wei-Lun Cheng
Yen-Lin Huang
I-Bin Liao
Yung-Hui Li
Jianwei Zhang
18
0
0
15 Oct 2024
Multimodal Datasets and Benchmarks for Reasoning about Dynamic
  Spatio-Temporality in Everyday Environments
Multimodal Datasets and Benchmarks for Reasoning about Dynamic Spatio-Temporality in Everyday Environments
Takanori Ugai
Kensho Hara
S. Egami
Ken Fukuda
VGen
20
0
0
21 Aug 2024
Chain-of-Thought Prompting Elicits Reasoning in Large Language Models
Chain-of-Thought Prompting Elicits Reasoning in Large Language Models
Jason W. Wei
Xuezhi Wang
Dale Schuurmans
Maarten Bosma
Brian Ichter
F. Xia
Ed H. Chi
Quoc Le
Denny Zhou
LM&Ro
LRM
AI4CE
ReLM
315
8,402
0
28 Jan 2022
Technological Approach to Mind Everywhere (TAME): an
  experimentally-grounded framework for understanding diverse bodies and minds
Technological Approach to Mind Everywhere (TAME): an experimentally-grounded framework for understanding diverse bodies and minds
M. Levin
AI4CE
25
109
0
24 Dec 2021
Learning to Walk in Minutes Using Massively Parallel Deep Reinforcement
  Learning
Learning to Walk in Minutes Using Massively Parallel Deep Reinforcement Learning
N. Rudin
David Hoeller
Philipp Reist
Marco Hutter
110
541
0
24 Sep 2021
iGibson 2.0: Object-Centric Simulation for Robot Learning of Everyday
  Household Tasks
iGibson 2.0: Object-Centric Simulation for Robot Learning of Everyday Household Tasks
Chengshu Li
Fei Xia
Roberto Martín-Martín
Michael Lingelbach
S. Srivastava
...
Karen Liu
H. Gweon
Jiajun Wu
Li Fei-Fei
Silvio Savarese
LM&Ro
146
221
0
06 Aug 2021
Scaling Laws for Neural Language Models
Scaling Laws for Neural Language Models
Jared Kaplan
Sam McCandlish
T. Henighan
Tom B. Brown
B. Chess
R. Child
Scott Gray
Alec Radford
Jeff Wu
Dario Amodei
226
4,424
0
23 Jan 2020
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