Engine Agnostic Graph Environments for Robotics (EAGERx): A Graph-Based Framework for Sim2real Robot Learning (bibtex)

by Bas van der Heijden, Jelle Luijkx, Laura Ferranti, Jens Kober, and Robert Babuška

Reference:

Bas van der Heijden, Jelle Luijkx, Laura Ferranti, Jens Kober, and Robert Babuška. Engine Agnostic Graph Environments for Robotics (EAGERx): A Graph-Based Framework for Sim2real Robot Learning. IEEE Robotics & Automation Magazine, 32(2):99–112, 2025.

Bibtex Entry:

@Article{Heijden2024RAM,
  author  = {van der Heijden, Bas AND Luijkx, Jelle AND Ferranti, Laura AND Kober, Jens AND Babu\v{s}ka, Robert},
  journal = {IEEE Robotics \& Automation Magazine},
  title   = {Engine Agnostic Graph Environments for Robotics ({EAGERx}): A Graph-Based Framework for Sim2real Robot Learning},
  year    = {2025},
  number  = {2},
  pages   = {99--112},
  volume  = {32},
  code    = {https://eagerx.readthedocs.io/},
  doi     = {10.1109/MRA.2024.3433172},
  file    = {https://arxiv.org/pdf/2407.04328.pdf},
  oa      = {green},
  project = {OpenDR},
  video   = {https://youtu.be/D0CQNnTT010},
  webpage = {https://eagerx.readthedocs.io/},
}