RoboFly: An insect-sized robot with simplified fabrication that is capable of flight, ground, and water surface locomotion
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Abstract (arXiv)
Aerial robots the size of a honeybee (~100 mg) have advantages over larger robots because of their small size, low mass and low materials cost. Previous iterations have demonstrated controlled flight but were difficult to fabricate because they consisted of many separate parts assembled together. They also were unable to perform locomotion modes besides flight. This paper presents a new design of a 74 mg flapping-wing robot that dramatically reduces the number of parts and simplifies fabrication. It also has a lower center of mass, which allows the robot to additionally land without the need for long legs, even in case of unstable flight. Furthermore, we show that the new design allows for wing-driven ground and air-water interfacial locomotion, improving the versatility of the robot. Forward thrust is generated by increasing the speed of downstroke relative to the upstroke of the flapping wings. This also allows for steering. The ability to land and subsequently move along the ground allows the robot to negotiate extremely confined spaces, underneath obstacles, and to precise locations. We describe the new design in detail and present results demonstrating these capabilities, as well as hovering flight and controlled landing.
Key facts. Cited by 4 papers in the map (data through 14 Oct 2026). First posted on arXiv 8 Jan 2020.
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Citing papers per year: 2021: 1; 2022: 1; 2023: 0; 2024: 0; 2025: 2.
4 papers.
- 2021MC-CIM: Compute-in-Memory with Monte-Carlo Dropouts for Bayesian Edge Intelligencecited by 6
- 2022Robust, High-Rate Trajectory Tracking on Insect-Scale Soft-Actuated Aerial Robots with Deep-Learned Tube MPCcited by 3
- 2025Hovering Flight of Soft-Actuated Insect-Scale Micro Aerial Vehicles using Deep Reinforcement Learningcited by 0
- 2025Aerobatic maneuvers in insect-scale flapping-wing aerial robots via deep-learned robust tube model predictive controlcited by 0
- 2025Aerobatic maneuvers in insect-scale flapping-wing aerial robots via deep-learned robust tube model predictive control5 Aug 2025
- 2025Hovering Flight of Soft-Actuated Insect-Scale Micro Aerial Vehicles using Deep Reinforcement Learning17 Feb 2025
- 2022Robust, High-Rate Trajectory Tracking on Insect-Scale Soft-Actuated Aerial Robots with Deep-Learned Tube MPC20 Sep 2022
- 2021MC-CIM: Compute-in-Memory with Monte-Carlo Dropouts for Bayesian Edge Intelligence13 Nov 2021