Poster: Olfactory Sensing in Turbulent Airflow via Collaborative Robots-Reference-Cited by-同舟云学术

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Poster: Olfactory Sensing in Turbulent Airflow via Collaborative Robots

Published:2024-02-28 Issue: Volume: Page:135-135
ISSN:
Container-title:Proceedings of the 25th International Workshop on Mobile Computing Systems and Applications
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Author:

Cheng Yuhan¹^ORCID,Chen Xuecheng¹^ORCID,Yang Yixuan²^ORCID,Wang Haoyang¹^ORCID,Liu Yuxuan¹^ORCID,Chen Xinlei¹³⁴^ORCID

Affiliation:

1. Shenzhen International Graduate School, Tsinghua University, Shenzhen, Guangdong, China

2. Department of Computer Science and Engineering, Southern University of Science and Technology, Shenzhen, Guangdong, China

3. Pengcheng Laboratory, Shenzhen, Guangdong, China

4. RISC-V International Open Source Laboratory, Shenzhen, Guangdong, China

Funder

National Key R&D program of China

Natural Science Foundation of China

Guangdong Innovative and Entrepreneurial Research Team Program

Shenzhen 2022 Stabilization Support Program

Tsinghua Shenzhen International Graduate School Cross-disciplinary Research and Innovation Fund Research Plan

Publisher

ACM

Reference4 articles.

1. Individualized Calibration of Industrial-Grade Gas Sensors in Air Quality Sensing System

2. Olfactory Sensing and Navigation in Turbulent Environments

3. Massimo Vergassola, Emmanuel Villermaux, and Boris I Shraiman. 2007. 'Infotaxis' as a strategy for searching without gradients. Nature 445, 7126 (2007), 406--409.

4. Ultra-Low-Power Sensing Framework for Internet of Things: A Smart Gas Meter as A Case

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