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Further Reading & Resources

Foundational reading

Books

  • Pfeifer, R. & Bongard, J. (2006). How the Body Shapes the Way We Think: A New View of Intelligence. MIT Press. The academic foundation for embodied intelligence — why physical interaction shapes cognition.

  • Sutton, R. & Barto, A. (2018). Reinforcement Learning: An Introduction (2nd ed.). MIT Press. incompleteideas.net/book/the-book.html The foundational RL textbook. Essential for understanding how robot policies are trained in simulation.

  • Nikolenko, S. I. (2021). Synthetic Data for Deep Learning. Springer. Comprehensive treatment of synthetic data generation, domain randomization, and domain adaptation.

Papers

  • Brohan, A., et al. (2023). "RT-2: Vision-Language-Action Models Transfer Web Knowledge to Robotic Control." arXiv:2307.15818 The paper that established VLAs as a paradigm.

  • Tobin, J., et al. (2017). "Domain Randomization for Transferring Deep Neural Networks from Simulation to the Real World." arXiv:1703.06907 The seminal domain randomization paper.

  • Ha, D. & Schmidhuber, J. (2018). "World Models." arXiv:1803.10122 The influential paper framing world models as learned environment simulators.

  • LeCun, Y. (2022). "A Path Towards Autonomous Machine Intelligence." openreview.net Yann LeCun's position paper on world models and the JEPA architecture.

  • Driess, D., et al. (2023). "PaLM-E: An Embodied Multimodal Language Model." arXiv:2303.03378 Demonstrating VLMs for embodied reasoning.

  • Zhao, W., et al. (2020). "Sim-to-Real Transfer in Deep Reinforcement Learning for Robotics: a Survey." arXiv:2009.13303 Comprehensive survey of sim-to-real techniques.

  • Sculley, D., et al. (2015). "Hidden Technical Debt in Machine Learning Systems." NeurIPS 2015. The foundational paper on ML operational challenges — relevant to understanding why MLOps matters.

NVIDIA ecosystem

Documentation

Developer resources

GitHub repositories

Red Hat ecosystem

Documentation

GPU on OpenShift

Upstream projects

Standards and frameworks

  • ISA/IEC 62443 — Industrial cybersecurity standard. isa.org
  • ISO 23247 — Digital twin framework for manufacturing. iso.org
  • NIST SP 800-82 Rev. 3 — Guide to OT Security. csrc.nist.gov
  • DISA STIGs — Security Technical Implementation Guides. access.redhat.com
  • SLSA — Supply-chain Levels for Software Artifacts. slsa.dev
  • Industry 5.0 — EU research and innovation framework. ec.europa.eu

Open-source datasets

Open-source VLA models