机器人
情态动词
稳健性(进化)
计算机科学
人工智能
模拟
生物化学
基因
化学
高分子化学
作者
Xinyu Zhang,Yuanhao Huang,Kangyao Huang,Xiaoyu Wang,Dafeng Jin,Huaping Liu,Jun Li
出处
期刊:Cornell University - arXiv
日期:2022-01-01
被引量:2
标识
DOI:10.48550/arxiv.2210.16875
摘要
Single locomotion robots often struggle to adapt in highly variable or uncertain environments, especially in emergencies. In this paper, a multi-modal deformable robot is introduced that can both fly and drive. Compatibility issues with multi-modal locomotive fusion for this hybrid land-air robot are solved using proposed design conceptions, including power settings, energy selection, and designs of deformable structure. The robot can also automatically transform between land and air modes during 3D planning and tracking. Meanwhile, we proposed a algorithms for evaluation the performance of land-air robots. A series of comparisons and experiments were conducted to demonstrate the robustness and reliability of the proposed structure in complex field environments.
科研通智能强力驱动
Strongly Powered by AbleSci AI