Collision Detection and Reaction for Quadrotors Using Encoder-Integrated Tombo Propellers

This study presents a novel collision detection and reaction strategy for quadrotors equipped with deformable propellers (Tombo propellers). By integrating rotary encoders, we achieve real-time monitoring of individual propeller speeds, enabling rapid and reliable collision detection based on sudden velocity drops. The propeller speed variation during collisions is analyzed through simulations of the BLDC motor-Tombo propeller collision model. In addition, experimental validation is performed on a quadrotor to reinforce the correlation between propeller velocity changes and collisions. A collision detection algorithm based on this phenomenon successfully identifies eight out of twelve collisions during hover flights, while the remaining four minor collisions, which were undetected, had negligible effects on quadrotor stability. Subsequently, a collision response strategy that takes advantage of this algorithm for a quadrotor following a pre-defined trajectory is implemented. Experimental results demonstrate that this strategy is successfully applied to the Tombo quadrotor, whereas a quadrotor with rigid propellers fails due to propeller breakage on impact. This highlights the effectiveness of combining Tombo propellers for impact resilience with encoder-based velocity monitoring for reliable collision detection and response, ensuring safer quadrotor operations. (Video: https://www.youtube.com/watch?v=czliIvss5_I).

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Publication Details

Journal
IEEE Access
Published
2025-01-01
DOI
https://doi.org/10.1109/access.2025.3572243
Primary Topic
Robotic Path Planning Algorithms
Type
article
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article

Collision Detection and Reaction for Quadrotors Using Encoder-Integrated Tombo Propellers

Van Anh Ho, Quan Khanh Luu, Giuseppe Loianno, Tien-Hung Pham et al.
IEEE Access
Robotic Path Planning Algorithms
article

Collision Detection and Reaction for Quadrotors Using Encoder-Integrated Tombo Propellers

Van Anh Ho, Quan Khanh Luu, Giuseppe Loianno, Tien-Hung Pham, Quang Ngoc Pham
article en

Abstract

This study presents a novel collision detection and reaction strategy for quadrotors equipped with deformable propellers (Tombo propellers). By integrating rotary encoders, we achieve real-time monitoring of individual propeller speeds, enabling rapid and reliable collision detection based on sudden velocity drops. The propeller speed variation during collisions is analyzed through simulations of the BLDC motor-Tombo propeller collision model. In addition, experimental validation is performed on a quadrotor to reinforce the correlation between propeller velocity changes and collisions. A collision detection algorithm based on this phenomenon successfully identifies eight out of twelve collisions during hover flights, while the remaining four minor collisions, which were undetected, had negligible effects on quadrotor stability. Subsequently, a collision response strategy that takes advantage of this algorithm for a quadrotor following a pre-defined trajectory is implemented. Experimental results demonstrate that this strategy is successfully applied to the Tombo quadrotor, whereas a quadrotor with rigid propellers fails due to propeller breakage on impact. This highlights the effectiveness of combining Tombo propellers for impact resilience with encoder-based velocity monitoring for reliable collision detection and response, ensuring safer quadrotor operations. (Video: https://www.youtube.com/watch?v=czliIvss5_I).

IEEE AccessVol. 13
Japan Advanced Institute of Science and Technology (JP), Purdue University West Lafayette (US), Robotics Research (United States) (US), New York University (US)
Affordable and clean energy
Openalex Percentile: Top 91%
Robotic Path Planning Algorithms
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