Notes from the training floor: model tuning, vision pipelines, and robot control experiments we run with manufacturing teams in Malaysia.
Before we sit down to talk about your assembly line, it helps to have a clear picture of the current setup: which stations are automated, where the bottlenecks appear, and what data your robots already collect. This post walks through the documents, floor observations, and performance logs that make the first session productive. It also covers the questions you should expect about your production targets and the constraints that shape the training plan.
Posted on 12 March 2025Not every factory needs the same depth of coaching. Some teams want a focused workshop on a single algorithm, while others need ongoing support across multiple production lines. This article compares the available formats, from short on-site sessions to extended remote coaching, and explains how each one maps to different team sizes and shift patterns. It also looks at the tradeoffs between hands-on lab time and classroom-style theory, so you can pick the structure that matches your operators' daily reality.
Posted on 28 February 2025Every engagement begins with a set of practical concerns: how much downtime the training will require, whether the existing robot controllers can handle the new models, and what happens if a line goes down mid-session. This post gathers the most common questions we hear from manufacturing teams in Malaysia and gives straightforward answers based on past projects. It also covers the preparation work that happens on our side, so you know what to expect before the first module begins.
Posted on 14 February 2025