  A tensegrity-based system is a promising approach for dynamic exploration of
uneven and unpredictable environments, particularly, space exploration.
However, implementing such systems presents challenges in terms of intelligent
aspects: state recognition, wireless monitoring, human interaction, and smart
analyzing and advising function. Here, we introduce a 6-strut tensegrity
integrate with 24 multimodal strain sensors by leveraging both deep learning
model and large language models to realize smart tensegrity. Using conductive
flexible tendons assisted by long short-term memory model, the tensegrity
achieves the self-shape reconstruction without extern sensors. Through
integrating the flask server and gpt-3.5-turbo model, the tensegrity
autonomously enables to send data to iPhone for wireless monitoring and
provides data analysis, explanation, prediction, and suggestions to human for
decision making. Finally, human interaction system of the tensegrity helps
human obtain necessary information of tensegrity from the aspect of human
language. Overall, this intelligent tensegrity-based system with self-sensing
tendons showcases potential for future exploration, making it a versatile tool
for real-world applications.
