Probabilistic Air Flow Modelling Using Turbulent and Laminar Characteristics for Ground and Aerial Robots

Author:

Bennetts Victor Hernandez,Kucner Tomasz Piotr,Schaffernicht Erik,Neumann Patrick P.,Fan Han,Lilienthal Achim J.

Funder

Swedish Knowledge Foundation project RAISE

H2020-ICT project SmokeBot

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Artificial Intelligence,Control and Optimization,Computer Science Applications,Computer Vision and Pattern Recognition,Mechanical Engineering,Human-Computer Interaction,Biomedical Engineering,Control and Systems Engineering

Cited by 13 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. LaCE-LHMP: Airflow Modelling-Inspired Long-Term Human Motion Prediction By Enhancing Laminar Characteristics in Human Flow;2024 IEEE International Conference on Robotics and Automation (ICRA);2024-05-13

2. Survey of maps of dynamics for mobile robots;The International Journal of Robotics Research;2023-08-03

3. Introduction;Model-Based Control of Flying Robots for Robust Interaction Under Wind Influence;2022-10-08

4. Gas Source Localization Based on Binary Sensing with a UAV;2022 IEEE International Symposium on Olfaction and Electronic Nose (ISOEN);2022-05-29

5. Sniffbots to the Rescue – Fog Services for a Gas-Sniffing Immersive Robot Collective;Service-Oriented and Cloud Computing;2022

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