Mengqian Tian — accepted AI-conference papers

2021

Design and Analysis of a Snake-Inspired Crawling Robot Driven by Alterable Angle Scales

Donghua Shen, Qi Zhang, Cunjin Wang, Xingsong Wang, Mengqian Tian

RA-L 2021

Inspired by the anisotropic friction of snakes' scales, many snake-like robots actuated by scales have been developed. However, these robots' scales' angle is unalterable, causing them to crawl in only one direction. Moreover, these robots typically require complex controllers to control their locom

Cited by 16 Source ↗Scholar ↗

2021

Designing a Soft Flat Crawling Robot With High Load Capacity

Donghua Shen, Jiyuan Wu, Cunjin Wang, Xingsong Wang, Mengqian Tian, Orelaja Oluseyi Adewale

RA-L 2021

Traditional soft crawling robots have many disadvantages, including their complex structure, difficulty in manufacturing, and low load capacity. Inspired by the art form of kirigami, we opted to design a soft, flat crawling robot using only simple, fast laser cutting technology and a weaving method

Cited by 5 Source ↗Scholar ↗