Innovative Control Strategies for Enhancing Self-Balancing Robots in Dynamic Environments

The self-balancing robot represents a significant advancement in the realm of mobile robotic platforms. This paper introduces the design of an intelligent embedded system aimed at managing the direction and speed of the stepper motor that drives the self-balancing robot. Controlling the speed and direction of the stepper motor is crucial for maintaining the stability of the two-wheeled robot. Stability is achieved by keeping the robot in an upright walking position. The proposed smart embedded system is engineered to handle sensing, control, and actuation functions.

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Publication Details

Published
2024-12-01
DOI
https://doi.org/10.1109/tencon61640.2024.10902994
Citations
1
Primary Topic
Advanced Manufacturing and Logistics Optimization
Type
article
Field-Weighted Citation Impact
0.35
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article

Innovative Control Strategies for Enhancing Self-Balancing Robots in Dynamic Environments

Chiang Liang Kok, Tee Hui Teo, Charles Lee, Chee Kit Ho et al.
1 citations
Advanced Manufacturing and Logistics Optimization
0.35
article

Innovative Control Strategies for Enhancing Self-Balancing Robots in Dynamic Environments

Chiang Liang Kok, Tee Hui Teo, Charles Lee, Chee Kit Ho, Pyae Han Kyaw
article en
1 citations

Abstract

The self-balancing robot represents a significant advancement in the realm of mobile robotic platforms. This paper introduces the design of an intelligent embedded system aimed at managing the direction and speed of the stepper motor that drives the self-balancing robot. Controlling the speed and direction of the stepper motor is crucial for maintaining the stability of the two-wheeled robot. Stability is achieved by keeping the robot in an upright walking position. The proposed smart embedded system is engineered to handle sensing, control, and actuation functions.

Singapore University of Technology and Design (SG), Singapore Institute of Technology (SG), University of Newcastle Australia (AU)
Openalex Percentile: Top 31%
Advanced Manufacturing and Logistics Optimization
0.35
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Innovative Control Strategies for Enhancing Self-Balancing Robots in Dynamic Environments — Chiang Liang Kok, Tee Hui Teo, et al. · (2024) | TGRS Research Map | TGRS