vST for Robotics and Control Policies#

References#

1. Robotics and Control Systems#

• Siciliano, B., & Khatib, O.
  Springer Handbook of Robotics.
  Springer (2016).

• Spong, M. W., Hutchinson, S., & Vidyasagar, M.
  Robot Modeling and Control.
  Wiley (2006).

• LaValle, S. M.
  Planning Algorithms.
  Cambridge University Press (2006).

2. Reinforcement Learning and Policy Optimization#

• Sutton, R. S., & Barto, A. G.
  Reinforcement Learning: An Introduction.
  MIT Press (2018).

• Schulman, J., Wolski, F., Dhariwal, P., et al.
  Proximal Policy Optimization Algorithms.
  arXiv:1707.06347 (2017).

• Haarnoja, T., Zhou, A., Abbeel, P., & Levine, S.
  Soft Actor‑Critic: Off‑Policy Maximum Entropy Deep RL.
  ICML (2018).

3. High‑Dimensional Latent‑Space Modeling#

• Kingma, D. P., & Welling, M.
  Auto‑Encoding Variational Bayes.
  arXiv:1312.6114 (2013).

• Vaswani, A., Shazeer, N., Parmar, N., et al.
  Attention Is All You Need.
  NeurIPS (2017).

• Chung, J., Gulcehre, C., Cho, K., & Bengio, Y.
  Gated Recurrent Neural Networks.
  arXiv:1412.3555 (2014).

4. Scaling Laws and Multi‑Modal Policies#

• Kaplan, J., McCandlish, S., Henighan, T., et al.
  Scaling Laws for Neural Language Models.
  arXiv:2001.08361 (2020).

• Radosavovic, I., Xiao, T., James, S., et al.
  Real‑World Robot Learning with Masked Visual Pre‑Training.
  arXiv:2306.05425 (2023).

• Zeng, A., Florence, P., Tompson, J., et al.
  Transporter Networks: Rearranging the Visual World for Robotic Manipulation.
  CoRL (2020).

5. Dynamical Systems and Regime Behavior#

• Strogatz, S.
  Nonlinear Dynamics and Chaos.
  Westview Press (2014).

• Khalil, H. K.
  Nonlinear Systems.
  Prentice Hall (2002).

• Guckenheimer, J., & Holmes, P.
  Nonlinear Oscillations, Dynamical Systems, and Bifurcations of Vector Fields.
  Springer (1983).

6. Validation, Verification, and Drift Detection#

• Amodei, D., Olah, C., Steinhardt, J., et al.
  Concrete Problems in AI Safety.
  arXiv:1606.06565 (2016).

• Breck, E., Cai, S., Nielsen, E., et al.
  The ML Test Score: A Rubric for ML Production Readiness.
  Google Research (2017).

• Oberkampf, W. L., & Roy, C. J.
  Verification and Validation in Scientific Computing.
  Cambridge University Press (2010).

7. Substrate‑Level and Triadic‑Frameworks Canon#

• Loswin, N.
  Resonance Substrate Model (RSM): Structural Foundations for High‑Dimensional Inference.
  TriadicFrameworks (2025).

• Loswin, N.
  Triadic Dimensional Cores: A 3D–9D Substrate for Structural and Inference‑Level Alignment.
  TriadicFrameworks (2025).

• Loswin, N.
  Validation‑Space‑Time (vST): A Substrate‑Level Framework for Reproducibility and Drift Detection.
  TriadicFrameworks (2025).

• Loswin, N.
  Dimensional Substrate Structures: Scaling Laws and High‑Dimensional Regimes.
  TriadicFrameworks (2026).

• Loswin, N.
  vST for Robotics and Control Policies.
  TriadicFrameworks (2026).