Low-cost 3D-printed adaptive suspension system for mobile robots using DMP-based real-time stabilization

This paper presents a low-cost adaptive suspension system designed to stabilize a mobile robotic platform operating on uneven terrain. Unlike many existing low-cost servo-based suspension approaches that depend on software-intensive filtering, threshold logic, or extensive tuning, the proposed system adopts a simplified control strategy using hardware-level sensor fusion from the digital motion processor (DMP) of an MPU6050 IMU combined with direct angle-to-actuation mapping. The mechanical design is based on a four-bar linkage suspension architecture actuated by servo motors and controlled using an ESP32 microcontroller, enabling real-time compensation of pitch and roll disturbances. Developed as a proof-of-concept platform with modular 3D-printed components, the system emphasizes accessibility, ease of fabrication, and reduced control complexity. Experimental evaluation under controlled, quasi-static conditions demonstrates effective chassis stabilization with limited angular deviation and consistently lower noise compared to a Kalman filter-based implementation, particularly during post-calibration operation. By balancing mechanical simplicity and additive manufacturing with reliable orientation feedback, the proposed design provides an accessible framework for teaching laboratories, low-budget research, and early-stage adaptive suspension development in resource-constrained environments.

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Publication Details

Journal
Mechatronics Electrical Power and Vehicular Technology
Published
2025-12-30
DOI
https://doi.org/10.55981/j.mev.2025.1315
Primary Topic
Vibration Control and Rheological Fluids
Type
article
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article

Low-cost 3D-printed adaptive suspension system for mobile robots using DMP-based real-time stabilization

Krishna Giri, Suman Kandel, Tul Bahadur Saru, Srijana Pariyar et al.
Mechatronics Electrical Power and Vehicular Technology
Vibration Control and Rheological Fluids
article

Low-cost 3D-printed adaptive suspension system for mobile robots using DMP-based real-time stabilization

Krishna Giri, Suman Kandel, Tul Bahadur Saru, Srijana Pariyar, Prasiddha Chaulagain, Sumit Babu Rijal, Yubraj Bajgain
article en

Abstract

This paper presents a low-cost adaptive suspension system designed to stabilize a mobile robotic platform operating on uneven terrain. Unlike many existing low-cost servo-based suspension approaches that depend on software-intensive filtering, threshold logic, or extensive tuning, the proposed system adopts a simplified control strategy using hardware-level sensor fusion from the digital motion processor (DMP) of an MPU6050 IMU combined with direct angle-to-actuation mapping. The mechanical design is based on a four-bar linkage suspension architecture actuated by servo motors and controlled using an ESP32 microcontroller, enabling real-time compensation of pitch and roll disturbances. Developed as a proof-of-concept platform with modular 3D-printed components, the system emphasizes accessibility, ease of fabrication, and reduced control complexity. Experimental evaluation under controlled, quasi-static conditions demonstrates effective chassis stabilization with limited angular deviation and consistently lower noise compared to a Kalman filter-based implementation, particularly during post-calibration operation. By balancing mechanical simplicity and additive manufacturing with reliable orientation feedback, the proposed design provides an accessible framework for teaching laboratories, low-budget research, and early-stage adaptive suspension development in resource-constrained environments.

Mechatronics Electrical Power and Vehicular TechnologyVol. 16(2)
Tribhuvan University (NP), Institute of Engineering (NP)
Industry, innovation and infrastructure
Openalex Percentile: Top 35%
Vibration Control and Rheological Fluids
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Low-cost 3D-printed adaptive suspension system for mobile robots using DMP-based real-time stabilization — Krishna Giri, Suman Kandel, et al. · Mechatronics Electrical Power and Vehicular Technology (2025) | TGRS Research Map | TGRS