Uploaded March 2023 | Updated September 2026, 55 minutes ago
Video for the IROS 2023 submission.
The video presents the paper "Canfly: A Can-sized Autonomous Mini Coaxial Helicopter".
The development of autonomous rotary-wing UAVs has shown an evident tendency in miniaturization. However, the side effects brought by miniaturization, such as decreased load capability, shorter flight duration, and reduced autonomous ability, seriously hinder the process. In this paper, we firstly investigate into the configuration of different rotary-wing aircraft and optimize the configuration selection. Afterward, with several elaborate mechanisms contributing for the miniaturization, we present the hardware design and control strategy of a mini coaxial helicopter, which is 62% smaller than the smallest autonomous quadrotor so far [1] in the collision area. Abundant experiments reveal that it achieves impressive traversability and is capable of carrying autonomous tasks in unknown dense scenarios, while maintaining satisfactory performance regarding loadability and flight duration.
Video for the IROS 2023 submission.
The video presents the paper "Canfly: A Can-sized Autonomous Mini Coaxial Helicopter".
The development of autonomous rotary-wing UAVs has shown an evident tendency in miniaturization. However, the side effects brought by miniaturization, such as decreased load capability, shorter flight duration, and reduced autonomous ability, seriously hinder the process. In this paper, we firstly investigate into the configuration of different rotary-wing aircraft and optimize the configuration selection. Afterward, with several elaborate mechanisms contributing for the miniaturization, we present the hardware design and control strategy of a mini coaxial helicopter, which is 62% smaller than the smallest autonomous quadrotor so far [1] in the collision area. Abundant experiments reveal that it achieves impressive traversability and is capable of carrying autonomous tasks in unknown dense scenarios, while maintaining satisfactory performance regarding loadability and flight duration.








![VID-Fusion: Robust Visual-Inertial-Dynamics Odometry for Accurate External Force Estimation
Video for the ICRA 2021 submission.
Preprint: http://arxiv.org/abs/2011.03993v1
Recently, quadrotors are gaining significant attention in aerial transportation and delivery. In these scenarios, an accurate estimation of the external force is as essential as the 6 degree-of-freedom (DoF) pose since it is of vital importance for planning and control of the vehicle. To this end, we propose a tightly-coupled Visual-Inertial-Dynamics (VID) system that simultaneously estimates the external force applied to the quadrotor along with the 6 DoF pose. Our method builds on the state-of-the-art optimization-based Visual-Inertial system [1], with a novel deduction of the dynamics and external force factor extended from VIMO [2]. Utilizing the proposed dynamics and external force factor, our estimator robustly and accurately estimates the external force even when it varies widely. Moreover, since we explicitly consider the influence of the external force, when compared with VIMO [2] and VINS-Mono [1], our method shows comparable and superior pose accuracy, even when the external force ranges from neglectable to significant. The robustness and effectiveness of the proposed method are validated by extensive real-world experiments and application scenario simulation. We will release an open-source package of this method along with datasets with ground-truth force measurements for the reference of the community. VID-Fusion: Robust Visual-Inertial-Dynamics Odometry for Accurate External Force Estimation](https://i.ytimg.com/vi/d8NhYngzsF4/mqdefault.jpg)

