A 3D‐Printed Self‐Learning Three‐Linked‐Sphere Robot for Autonomous Confined‐Space Navigation | Zendy

Elder Brian | Zendy; Zou Zonghao | Zendy; Ghosh Samannoy | Zendy; Silverberg Oliver | Zendy; Greenwood Taylor E. | Zendy; Demir Ebru | Zendy; Su Vivian Song-En | Zendy; Pak On Shun | Zendy; Kong Yong Lin | Zendy

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A 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.

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