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Evolving Robots on Easy Mode: Towards a Variable Complexity Controller
  for Quadrupeds

Evolving Robots on Easy Mode: Towards a Variable Complexity Controller for Quadrupeds

12 February 2019
T. Nygaard
Charles Patrick Martin
J. Tørresen
K. Glette
ArXiv (abs)PDFHTML

Papers citing "Evolving Robots on Easy Mode: Towards a Variable Complexity Controller for Quadrupeds"

5 / 5 papers shown
Semi-supervised Gated Recurrent Neural Networks for Robotic Terrain
  Classification
Semi-supervised Gated Recurrent Neural Networks for Robotic Terrain ClassificationIEEE Robotics and Automation Letters (RA-L), 2020
Ahmadreza Ahmadi
T. Nygaard
N. Kottege
David Howard
N. Hudson
123
17
0
24 Nov 2020
On Restricting Real-Valued Genotypes in Evolutionary Algorithms
On Restricting Real-Valued Genotypes in Evolutionary Algorithms
Jørgen Nordmoen
T. Nygaard
Eivind Samuelsen
K. Glette
124
6
0
19 May 2020
Real World Morphological Evolution is Feasible
Real World Morphological Evolution is Feasible
T. Nygaard
David Howard
K. Glette
233
4
0
19 May 2020
Environmental Adaptation of Robot Morphology and Control through
  Real-world Evolution
Environmental Adaptation of Robot Morphology and Control through Real-world EvolutionEvolutionary Computation (Evol. Comput.), 2020
T. Nygaard
Charles Patrick Martin
David Howard
J. Tørresen
K. Glette
AI4CE
206
29
0
30 Mar 2020
Lessons Learned from Real-World Experiments with DyRET: the Dynamic
  Robot for Embodied Testing
Lessons Learned from Real-World Experiments with DyRET: the Dynamic Robot for Embodied Testing
T. Nygaard
Jørgen Nordmoen
Charles Patrick Martin
K. Glette
95
0
0
14 May 2019
1
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