Multi-Cable Rolling Locomotion with Spherical Tensegrities Using Model Predictive Control and Deep Learning-Reference-Cited by-同舟云学术

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Multi-Cable Rolling Locomotion with Spherical Tensegrities Using Model Predictive Control and Deep Learning

Published:2018-10 Issue: Volume: Page:
ISSN:
Container-title:2018 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
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Author:

Cera Brian,Agogino Alice M.

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/8574473/8593358/08594401.pdf?arnumber=8594401

Cited by 10 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Rolling motion of six-bar tensegrity structure based on PSO;Structures;2024-07

2. Design and locomotion characteristic analysis of two kinds of tensegrity hopping robots;iScience;2024-03

3. Design and locomotion characteristic analysis of a novel tensegrity hopping robot^*;2023 IEEE International Conference on Robotics and Biomimetics (ROBIO);2023-12-04

4. A Dynamic-Model-Based Predictive Controller for a Novel Pendulum-Driven Spherical Robot;2022 7th International Conference on Robotics and Automation Engineering (ICRAE);2022-11-18

5. Deep learning based model predictive control for compression ignition engines;Control Engineering Practice;2022-10

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