Advanced Computing & Robotics Research

These are the fields ACRR proposes to study. They describe where attention is intended to go, not active projects or a staffed laboratory in each area.

1. 01

   Advanced Computing

   Parallel and high-performance computing, computer architecture, and the software systems that make large computations practical.

2. 02

   Artificial Intelligence and Machine Learning

   Learning-based methods, the mathematics behind them, and how to evaluate what they can and cannot do.

3. 03

   Robotics and Autonomous Systems

   How machines sense, plan and act: kinematics, perception, motion planning and autonomy.

4. 04

   Control Systems and Intelligent Systems

   Feedback, stability and estimation, and how classical control relates to learning-based approaches.

5. 05

   Computational Methods and Engineering

   Numerical methods, simulation, and the practice of checking whether a computed result can be trusted.

• 12 Oct 2026Computing Systems16 min read

  Token-Based Authentication: From HTTP Requests to JWT, OAuth 2.0, and API Authorization

  A practical, end-to-end guide to HTTP fundamentals, token types, JWT validation, OAuth 2.0, OpenID Connect, refresh tokens, security controls, and ASP.NET Core.

  Read article →

• 11 Oct 2026Robotics and Control2 min read

  Introduction to Control Systems

  An introductory overview of feedback and system behavior.

  Read article →

• 4 Oct 2026Mathematical Foundations3 min read

  Notes on Numerical Integration of ODEs

  Explicit Euler versus fourth-order Runge-Kutta on a test equation, and why accuracy and stability are separate questions.

  Read article →

A series arranges related articles in a reading order. A series marked as planned or in progress also lists the entries that are intended but not yet written.

• Robotics and ControlIn progress

  Foundations of Control Systems

  A series on how feedback shapes the behavior of dynamical systems, from first principles to state-space models.

  3 of 5 entries published

  View series →: Foundations of Control Systems

• Robotics and ControlPlanned

  Introduction to Robotics

  A planned series that introduces robots as systems of structure, actuation, sensing, and computation connected by feedback.

  0 of 4 entries published

  View series →: Introduction to Robotics

• AI and Machine LearningPlanned

  Machine Learning Fundamentals

  A planned series on the core ideas behind learning from data: models, loss functions, optimization, and how to evaluate what a model has learned.

  0 of 4 entries published

  View series →: Machine Learning Fundamentals

ACRR intends to curate learning paths, study notes and external references. These are still being organised: until a real page exists for an entry, it is marked Coming soon and carries no link.

Topics listed so far: AI and Machine Learning · Computing Systems · Mathematical Foundations · Robotics and Control

6 entries listed0 with a public link

ACRR is intended to grow from an independent publishing platform into a broader research ecosystem. Today it is only the first stage: a place to publish and organise technical writing. This describes a direction, not a current capability, and no timeline is implied.

1. Stage 1Current focus

   Publish

   Technical articles, research notes and insights, written so that the reasoning and the assumptions are visible, not only the conclusions.

2. Stage 2Intended

   Organise

   Series and learning paths that connect individual articles into a coherent route through a subject.

3. Stage 3Intended

   Collaborate

   Projects, collaboration and laboratory activities, if and when there is real work and real people behind them.

• Blog →Articles, research notes and tutorials, newest first.
• Series →Related articles arranged in a reading order.
• Learning →An index of planned learning paths, study notes and references, still being organised.
• Insights →Short perspectives on advanced computing and robotics.
• About →What ACRR is for, and how it intends to work.