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Neural Graph Evolution: Towards Efficient Automatic Robot Design

Neural Graph Evolution: Towards Efficient Automatic Robot Design

12 June 2019
Tingwu Wang
Yuhao Zhou
Sanja Fidler
Jimmy Ba
ArXivPDFHTML

Papers citing "Neural Graph Evolution: Towards Efficient Automatic Robot Design"

19 / 19 papers shown
Title
Text2Robot: Evolutionary Robot Design from Text Descriptions
Text2Robot: Evolutionary Robot Design from Text Descriptions
Ryan P. Ringel
Zachary S. Charlick
Jiaxun Liu
Boxi Xia
Boyuan Chen
58
2
0
28 Jun 2024
Swarm of One: Bottom-up Emergence of Stable Robot Bodies from Identical
  Cells
Swarm of One: Bottom-up Emergence of Stable Robot Bodies from Identical Cells
T. Smith
R. Butts
N. Adkins
Yu Gu
15
2
0
22 Jun 2023
Modular Controllers Facilitate the Co-Optimization of Morphology and
  Control in Soft Robots
Modular Controllers Facilitate the Co-Optimization of Morphology and Control in Soft Robots
Alican Mertan
Nick Cheney
32
6
0
12 Jun 2023
A Comparative Study of Brain Reproduction Methods for Morphologically
  Evolving Robots
A Comparative Study of Brain Reproduction Methods for Morphologically Evolving Robots
Jie Luo
Carlo Longhi
A. E. Eiben
19
1
0
22 Mar 2023
GLSO: Grammar-guided Latent Space Optimization for Sample-efficient
  Robot Design Automation
GLSO: Grammar-guided Latent Space Optimization for Sample-efficient Robot Design Automation
Jiaheng Hu
Julian Whiman
Howie Choset
42
16
0
23 Sep 2022
REvolveR: Continuous Evolutionary Models for Robot-to-robot Policy
  Transfer
REvolveR: Continuous Evolutionary Models for Robot-to-robot Policy Transfer
Xingyu Liu
Deepak Pathak
Kris Kitani
23
19
0
10 Feb 2022
Evolution Gym: A Large-Scale Benchmark for Evolving Soft Robots
Evolution Gym: A Large-Scale Benchmark for Evolving Soft Robots
Jagdeep Bhatia
Holly Jackson
Yunsheng Tian
Jie Xu
Wojciech Matusik
26
81
0
24 Jan 2022
A Graph Deep Learning Framework for High-Level Synthesis Design Space
  Exploration
A Graph Deep Learning Framework for High-Level Synthesis Design Space Exploration
Lorenzo Ferretti
Andrea Cini
Georgios Zacharopoulos
Cesare Alippi
L. Pozzi
32
4
0
29 Nov 2021
An End-to-End Differentiable Framework for Contact-Aware Robot Design
An End-to-End Differentiable Framework for Contact-Aware Robot Design
Jie Xu
Tao Chen
Lara Zlokapa
Michael Foshey
Wojciech Matusik
Shinjiro Sueda
Pulkit Agrawal
27
88
0
15 Jul 2021
Multi-Objective Graph Heuristic Search for Terrestrial Robot Design
Multi-Objective Graph Heuristic Search for Terrestrial Robot Design
Jie Xu
Andrew Spielberg
Allan Zhao
Daniela Rus
Wojciech Matusik
66
38
0
13 Jul 2021
Task-Agnostic Morphology Evolution
Task-Agnostic Morphology Evolution
D. Hejna
Pieter Abbeel
Lerrel Pinto
30
26
0
25 Feb 2021
Emergent Hand Morphology and Control from Optimizing Robust Grasps of
  Diverse Objects
Emergent Hand Morphology and Control from Optimizing Robust Grasps of Diverse Objects
Xinlei Pan
Animesh Garg
Anima Anandkumar
Yuke Zhu
18
15
0
22 Dec 2020
Neural fidelity warping for efficient robot morphology design
Neural fidelity warping for efficient robot morphology design
Sha Hu
Zeshi Yang
Greg Mori
55
4
0
08 Dec 2020
Self-supervised Graph Representation Learning via Bootstrapping
Self-supervised Graph Representation Learning via Bootstrapping
Feihu Che
Guohua Yang
Dawei Zhang
J. Tao
Pengpeng Shao
Tong Liu
SSL
8
23
0
10 Nov 2020
Evolving Graphical Planner: Contextual Global Planning for
  Vision-and-Language Navigation
Evolving Graphical Planner: Contextual Global Planning for Vision-and-Language Navigation
Zhiwei Deng
Karthik R. Narasimhan
Olga Russakovsky
24
86
0
11 Jul 2020
One Policy to Control Them All: Shared Modular Policies for
  Agent-Agnostic Control
One Policy to Control Them All: Shared Modular Policies for Agent-Agnostic Control
Wenlong Huang
Igor Mordatch
Deepak Pathak
51
164
0
09 Jul 2020
Emergence of Locomotion Behaviours in Rich Environments
Emergence of Locomotion Behaviours in Rich Environments
N. Heess
TB Dhruva
S. Sriram
Jay Lemmon
J. Merel
...
Tom Erez
Ziyun Wang
S. M. Ali Eslami
Martin Riedmiller
David Silver
143
928
0
07 Jul 2017
Neural Architecture Search with Reinforcement Learning
Neural Architecture Search with Reinforcement Learning
Barret Zoph
Quoc V. Le
271
5,327
0
05 Nov 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in
  Deep Learning
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning
Y. Gal
Zoubin Ghahramani
UQCV
BDL
285
9,145
0
06 Jun 2015
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