TY - JOUR
T1 - Modeling of a Six-Bar Tensegrity Robot Using the Port-Hamiltonian Framework and Experimental Validation
AU - Liu, Songyuan
AU - Yang, Qingkai
AU - Lv, Jingshuo
AU - Fang, Hao
N1 - Publisher Copyright:
© 2024 IEEE.
PY - 2024/5/1
Y1 - 2024/5/1
N2 - Existing tensegrity robot modeling predominantly relies on cable length as the primary control input, making it intractable for implementation on motor-driven physical systems. In addition, the current models lack precise formulations for intricate environmental interactions, such as ground contact forces during deformation and rolling maneuvers. To bridge these gaps, our study proposes a practicable modeling approach tailored for six-bar tensegrity robots within the Port-Hamiltonian framework. We address the internal forces stemming from interconnected bars and cables by elegantly formulating them as Hamiltonian expressions. Central to our modeling is the versatile "port", encompassing contact and friction forces, and motor-driven propulsion. These considerations exhibit a broad applicability to cable-driven tensegrity robots, facilitating the straightforward deployment of controllers on real-world robotic platforms. The system parameters are identified via experiments on our prototype tensegrity robot, with results aligning closely with theoretical analyses. In summary, our work offers a refined modeling perspective overcoming challenges in control inputs and environmental interactions, validated through prototype experiments.
AB - Existing tensegrity robot modeling predominantly relies on cable length as the primary control input, making it intractable for implementation on motor-driven physical systems. In addition, the current models lack precise formulations for intricate environmental interactions, such as ground contact forces during deformation and rolling maneuvers. To bridge these gaps, our study proposes a practicable modeling approach tailored for six-bar tensegrity robots within the Port-Hamiltonian framework. We address the internal forces stemming from interconnected bars and cables by elegantly formulating them as Hamiltonian expressions. Central to our modeling is the versatile "port", encompassing contact and friction forces, and motor-driven propulsion. These considerations exhibit a broad applicability to cable-driven tensegrity robots, facilitating the straightforward deployment of controllers on real-world robotic platforms. The system parameters are identified via experiments on our prototype tensegrity robot, with results aligning closely with theoretical analyses. In summary, our work offers a refined modeling perspective overcoming challenges in control inputs and environmental interactions, validated through prototype experiments.
KW - Dynamics
KW - and learning for soft robots
KW - control
KW - modeling
KW - port-hamiltonian framework
KW - tensegrity robots
UR - http://www.scopus.com/inward/record.url?scp=85189154187&partnerID=8YFLogxK
U2 - 10.1109/LRA.2024.3381819
DO - 10.1109/LRA.2024.3381819
M3 - Article
AN - SCOPUS:85189154187
SN - 2377-3766
VL - 9
SP - 4439
EP - 4446
JO - IEEE Robotics and Automation Letters
JF - IEEE Robotics and Automation Letters
IS - 5
M1 - 10479979
ER -