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Abstract
The small footprint of tiny multirotor vehicles is advantageous for accessing tight spaces, but their limited payload and endurance
impact the ability to carry powerful sensory and computing units for navigation. This article reports an aerodynamics-based
strategy for a ducted rotorcraft to avoid wall collisions and explore unknown environments. The vehicle uses the minimal sensing
system conventionally conceived only for hovering. The framework leverages the duct-strengthened interaction between the
propeller wake and vertical surfaces. When incorporated with the flight dynamics, the derived momentum-theory-based model
allows the robot to estimate the obstacle’s distance and direction without range sensors or vision. To this end, we devised a flight
controller and reactive navigation methods for the robot to fly safely in unexplored environments. Flight experiments validated the
detection and collision avoidance ability. The robot successfully identified and followed the wall contour to negotiate a staircase
and evaded detected obstacles in proof-of-concept flights.
© The Author(s) 2023
© The Author(s) 2023
| Original language | English |
|---|---|
| Article number | 2 |
| Journal | npj Robotics |
| Volume | 1 |
| Online published | 26 Oct 2023 |
| DOIs | |
| Publication status | Published - 2023 |
Funding
The work described in this paper was supported by the Research Grants Council of the Hong Kong Special Administrative Region, China (project no. CityU 11207621) and the Shenzhen-Hongkong-Macau Science and Technology Project (Category C) (project no. SGDX20220530111401009).
Publisher's Copyright Statement
- This full text is made available under CC-BY 4.0. https://creativecommons.org/licenses/by/4.0/
RGC Funding Information
- RGC-funded
Fingerprint
Dive into the research topics of 'Aerodynamic effect for collision-free reactive navigation of a small quadcopter'. Together they form a unique fingerprint.Projects
- 1 Finished
-
GRF: A Passive Aeromechanic Approach for Collision Avoidance of a Reconfigurable Multirotor Robot
CHIRARATTANANON, P. (Principal Investigator / Project Coordinator)
1/01/22 → 10/11/25
Project: Research
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