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

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

Reference:

Bas van der Heijden, Jelle Douwe 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, :2–15, 2024. Early Access.

Bibtex Entry:

@Article{Heijden2024RAM,
  author  = {van der Heijden, Bas AND Luijkx, Jelle Douwe 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},
  pages   = {2--15},
  year    = {2024},
  doi     = {10.1109/MRA.2024.3433172},
  file    = {https://arxiv.org/pdf/2407.04328.pdf},
  code    = {https://eagerx.readthedocs.io/},
  video   = {https://youtu.be/D0CQNnTT010},
  project = {OpenDR},
  oa      = {green},
  webpage = {https://eagerx.readthedocs.io/},
  note    = {Early Access},
}