Ian Butterworth reveals how he runs a faster line following MicroMouse by learning the layout first

Опубликовано: 31 Июль 2026
на канале: MicroMouse
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Today, we will delve into the intricacies of enhancing the performance of a line-following MicroMouse robot, as demonstrated by Ian Butterworth. By employing a strategy of familiarizing the robot with the track layout, Mr Butterworth effectively enables the robot to accelerate along extended straight sections and optimize its navigation around turns. This approach not only facilitates faster performance but also exemplifies the significance of strategic planning and learning in robotics. Through a thorough understanding of the track layout, the robot can make informed decisions, leading to improved efficiency and speed. As we explore this case study, we will gain valuable insights into the practical application of pre-learning track layouts in robotics and its potential implications for various automation and navigation systems. Thank you for your attention, and let us proceed to delve deeper into this intriguing subject.

00:00:01 Learning the line
00:00:22 Why bother
00:00:59 My journey with line followers
00:02:35 Asymouse
00:07:19 Data structures
00:15:45 What could possibly go wrong
00:18:42 Mitigations
00:26:21 Magellan UKMARSBOT
00:32:53 Magellan exploring demonstration
00:34:00 Line map
00:45:43 Magellan fast run demonstration
00:46:05 Lessons learnt
00:55:40 Questions
01:23:15 New wall reflectivity tests

This is an extract from the UKMARS monthly online meeting.

UKMARS is the United Kingdom Micromouse and Robotics Society, an organisation focused on encouraging Micromouse and other small robots both in the UK and internationally and anyone, anywhere, can become a member at https://ukmars.org/

Our Minos annual conference will be held at St Alban’s Catholic High School in Ipswich on the 16th and 17th March 2024. with talks like this one on the 16th and a competition on the 17th. if you have already missed it you can check out our future events at https://ukmars.org/

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