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pro vyhledávání: '"Shentu, Chengnan"'
Tendon-driven Continuum Robots (TDCRs) are promising candidates for applications in confined spaces due to their unique shape, compliance, and miniaturization capability. Non-parallel tendon routing for TDCRs have shown definite advantages including
Externí odkaz:
http://arxiv.org/abs/2409.13165
Tendon-Driven Continuum Robots (TDCRs) have the potential to be used in minimally invasive surgery and industrial inspection, where the robot must enter narrow and confined spaces. We propose a Model Predictive Control (MPC) approach to leverage the
Externí odkaz:
http://arxiv.org/abs/2409.09970
Autor:
Grassmann, Reinhard M., Shentu, Chengnan, Hamoda, Taqi, Dewi, Puspita Triana, Burgner-Kahrs, Jessica
Experiments on physical continuum robot are the gold standard for evaluations. Currently, as no commercial continuum robot platform is available, a large variety of early-stage prototypes exists. These prototypes are developed by individual research
Externí odkaz:
http://arxiv.org/abs/2304.11850
Autor:
Shentu, Chengnan, Li, Enxu, Chen, Chaojun, Dewi, Puspita Triana, Lindell, David B., Burgner-Kahrs, Jessica
Continuum robots are promising candidates for interactive tasks in medical and industrial applications due to their unique shape, compliance, and miniaturization capability. Accurate and real-time shape sensing is essential for such tasks yet remains
Externí odkaz:
http://arxiv.org/abs/2303.00891
Akademický článek
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Autor:
Grassmann, Reinhard M., Shentu, Chengnan, Hamoda, Taqi, Dewi, Puspita Triana, Burgner-Kahrs, Jessica, Zhang, Ketao, Shi, Ge
Publikováno v:
Frontiers in Robotics & AI; 2024, p1-11, 11p