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The Foldable Drone: A Morphing Quadrotor That Can Squeeze and Fly
- Publication Year :
- 2019
-
Abstract
- The recent advances in state estimation, perception, and navigation algorithms have significantly contributed to the ubiquitous use of quadrotors for inspection, mapping, and aerial imaging. To further increase the versatility of quadrotors, recent works investigated the use of an adaptive morphology, which consists of modifying the shape of the vehicle during flight to suit a specific task or environment. However, these works either increase the complexity of the platform or decrease its controllability. In this letter, we propose a novel, simpler, yet effective morphing design for quadrotors consisting of a frame with four independently rotating arms that fold around the main frame. To guarantee stable flight at all times, we exploit an optimal control strategy that adapts on the fly to the drone morphology. We demonstrate the versatility of the proposed adaptive morphology in different tasks, such as negotiation of narrow gaps, close inspection of vertical surfaces, and object grasping and transportation. The experiments are performed on an actual, fully autonomous quadrotor relying solely on onboard visual-inertial sensors and compute. No external motion tracking systems and computers are used. This is the first work showing stable flight without requiring any symmetry of the morphology.
- Subjects :
- 0209 industrial biotechnology
2606 Control and Optimization
Control and Optimization
1707 Computer Vision and Pattern Recognition
Computer science
10009 Department of Informatics
motion control
design
Biomedical Engineering
ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION
2210 Mechanical Engineering
2207 Control and Systems Engineering
2204 Biomedical Engineering
1702 Artificial Intelligence
02 engineering and technology
000 Computer science, knowledge & systems
1709 Human-Computer Interaction
020901 industrial engineering & automation
Match moving
Artificial Intelligence
0202 electrical engineering, electronic engineering, information engineering
1706 Computer Science Applications
Computer vision
business.industry
Mechanical Engineering
Frame (networking)
Propeller
aerial systems: applications
Optimal control
Motion control
Drone
Computer Science Applications
robust/adaptive control of robotic systems
Human-Computer Interaction
Controllability
Morphing
aerial systems: mechanics and control
flight
Control and Systems Engineering
Robot
020201 artificial intelligence & image processing
Computer Vision and Pattern Recognition
Artificial intelligence
business
Subjects
Details
- Language :
- English
- Database :
- OpenAIRE
- Accession number :
- edsair.doi.dedup.....07c38946231a6b46bbbf177bc73b4376
- Full Text :
- https://doi.org/10.5167/uzh-197743