OA-Bug: An Olfactory-Auditory Augmented Bug Algorithm for Swarm Robots in a Denied Environment-Reference-Cited by-同舟云学术

OA-Bug: An Olfactory-Auditory Augmented Bug Algorithm for Swarm Robots in a Denied Environment

Published:2023-10-01 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
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Author:

Tan Siqi¹,Zhang Xiaoya¹,Li Jingyao¹,Jing Ruitao¹,Zhao Mufan²,Liu Yang³,Quan Quan⁴

Affiliation:

1. School of Computer Science and Engineering, Beihang University,Beijing,China,100191

2. Institute of Artificial Intelligence, Beihang University,Beijing,China,100191

3. School of Instrumentation and Optoelectronic Engineering, Beihang University,Beijing,China,100191

4. School of Automation Science and Electrical Engineering, Beihang University,Beijing,China,100191

Funder

National Natural Science Foundation of China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10341341/10341342/10341510.pdf?arnumber=10341510

Reference33 articles.

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4. Intelligent legged climbing service robot for remote maintenance applications in hazardous environments

5. Multimodal Human-Robot Interface for Accessible Remote Robotic Interventions in Hazardous Environments

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