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Size Matters: Exploring the Impact of Scaling on Quadruped Robot Dynamics

  • Istanbul Technical University

Araştırma çıktısı: Kitap/Rapor/Konferans Bildirisinde BölümKonferans katkısıHakem

Özet

Quadruped robots are indispensable for specialized tasks, particularly in disaster scenarios like earthquakes, where their mobility surpasses that of fixed robots. However, altering their dimensions significantly impacts their mechanical requirements and control systems. This study investigates and compares the principal mechanical parameters affecting the control systems of quadruped robots during scaling, aiming to understand how scalability influences their design across different sizes. Using a standard quasi-direct driven commercial quadruped robot1(Unitree A 1) model featuring dual coaxial motor design and serial link architecture actuators, simulations are conducted at four different sizes, each expanding the robot size by 30%. These simulations analyze static and dynamic forces as the robot walks on a flat surface at a constant speed. To fortify our findings, simulations employ three trajectory scenarios, in each scenario, four robots are scaled in length, increasing by a coefficient of 0.3 from robot 1 to robot 4. The first and second scenarios feature different trajectory lengths, while the third scenario increases the trajectory height while maintaining the length of the second scenario. Specifically, we examine the required torque, energy consumption of the robot motors, reaction forces between the robot feet and terrain, and the mechanical cost of transport. These outcomes encompass critical components of the robot from a mechanical analysis perspective, including joints, providing valuable references for various actuator architecture designs. Our findings reveal a logical pattern in the increase of torques, power consumptions, and reaction forces as the robot scales. These insights lay the groundwork for developing a scalable control architecture for legged robots.

Orijinal dilİngilizce
Ana bilgisayar yayını başlığıTowards Autonomous Robotic Systems - 25th Annual Conference, TAROS 2024, Proceedings
EditörlerMingfeng Wang, Tatiana Kalganova, M. Nazmul Huda
YayınlayanSpringer Science and Business Media Deutschland GmbH
Sayfalar106-117
Sayfa sayısı12
ISBN (Basılı)9783031720611
DOI'lar
Yayın durumuYayınlandı - 2025
Etkinlik25th Annual Conference on Towards Autonomous Robotic Systems, TAROS 2024 - London, United Kingdom
Süre: 21 Ağu 202423 Ağu 2024

Yayın serisi

AdıLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Hacim15052 LNAI
ISSN (Basılı)0302-9743
ISSN (Elektronik)1611-3349

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???event.eventtypes.event.conference???25th Annual Conference on Towards Autonomous Robotic Systems, TAROS 2024
Ülke/BölgeUnited Kingdom
ŞehirLondon
Periyot21/08/2423/08/24

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Publisher Copyright:
© The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.

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