Daiwei Li

Papers

Total Citations

H-Index

About

Daiwei Li is a robotics researcher whose work centers on the mechanics and control of novel robotic systems, with a particular emphasis on tensegrity robots and cable-driven parallel mechanisms. His primary research areas include tensegrity structure locomotion, dynamic simulation, and hardware-in-the-loop testing for guidance, navigation, and control (GNC) systems. Li’s major contributions lie in advancing the understanding of how tensegrity robots—lightweight, deployable structures composed of rigid struts and elastic cables—can achieve efficient movement. His 2017 paper on an efficient locomotion strategy for six-strut tensegrity robots (6 citations) addresses the challenge of controlling these inherently compliant systems, proposing methods to harness their unique self-deformation and robustness for practical mobility. Additionally, his 2021 work on cable-driven parallel robots for GNC simulation (3 citations) bridges robotics and aerospace applications. His 2016 study on tensegrity robot dynamic simulation and kinetic strategy programming (3 citations) further explores control algorithms for these structures. While his citation counts are modest, Li’s research is foundational in a niche field, contributing to the development of foldable, resilient robots for exploration and deployment in constrained environments.