Genetic Cubic n{C/A} Ratios For Elementary Robotics Design
Last Updated on May 15, 2026 by Editorial Team
Author(s): Greg Oliver
Originally published on Towards AI.
Architectural Cubic n{C/A} Ratios and Easy Shifts to Aid Robotics Design
This post provides a toolbox of genetic Cubic coefficient ratios n{C/A} and n{C} ratios in Header Graph 1 applied to a depressed Cubic y=Ax³ — Cx+0 in black with Roots, Tp’s and in green the Sum Of gradients = — 3C at all possible 3 real roots (between Tp(y)’s) as presented in my recent post; Designing Polynomials Using Sum of Gradients at the Roots.
This article discusses genetic Cubic coefficient ratios essential for robotics design, providing efficient formulas to manipulate and shift depressed cubic functions within a coordinate system, thus aiding in various robotic applications, including movement and control mechanisms.
Read the full blog for free on Medium.
Join thousands of data leaders on the AI newsletter. Join over 80,000 subscribers and keep up to date with the latest developments in AI. From research to projects and ideas. If you are building an AI startup, an AI-related product, or a service, we invite you to consider becoming a sponsor.
Published via Towards AI
Towards AI Academy
We Build Enterprise-Grade AI. We'll Teach You to Master It Too.
15 engineers. 100,000+ students. Towards AI Academy teaches what actually survives production.
Start free — no commitment:
→ 6-Day Agentic AI Engineering Email Guide — one practical lesson per day
→ Agents Architecture Cheatsheet — 3 years of architecture decisions in 6 pages
Our courses:
→ AI Engineering Certification — 90+ lessons from project selection to deployed product. The most comprehensive practical LLM course out there.
→ Agent Engineering Course — Hands on with production agent architectures, memory, routing, and eval frameworks — built from real enterprise engagements.
→ AI for Work — Understand, evaluate, and apply AI for complex work tasks.
Note: Article content contains the views of the contributing authors and not Towards AI.
Related posts
Recent Posts
