Open AccessA 3D‐Printed Self‐Learning Three‐Linked‐Sphere Robot for Autonomous Confined‐Space Navigation
Author(s) -
Elder Brian,
Zou Zonghao,
Ghosh Samannoy,
Silverberg Oliver,
Greenwood Taylor E.,
Demir Ebru,
Su Vivian Song-En,
Pak On Shun,
Kong Yong Lin
Publication year - 2021
Publication title -
advanced intelligent systems
Language(s) - English
Resource type - Journals
ISSN - 2640-4567
DOI - 10.1002/aisy.202170064
Subject(s) - crawling , robot , artificial intelligence , computer science , robot learning , human–computer interaction , key (lock) , scalability , reinforcement learning , space (punctuation) , mobile robot , computer vision , engineering , computer security , biology , anatomy , database , operating system
Robots In article number 2100039 , Yong Lin Kong and co‐workers present a 3D‐printed, compact robot integrated with reinforcement learning that performs adaptable, autonomous crawling in a confined environment. Without prior knowledge of the environment, the scalable robot can learn effective locomotory gaits that enable navigation through confined and dynamic environments, addressing a key challenge for robotic biomedical diagnosis.