2022
DOI: 10.1126/scirobotics.abq8184
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A gyroscope-free visual-inertial flight control and wind sensing system for 10-mg robots

Abstract: Tiny “gnat robots,” weighing just a few milligrams, were first conjectured in the 1980s. How to stabilize one if it were to hover like a small insect has not been answered. Challenges include the requirement that sensors be both low mass and high bandwidth and that silicon-micromachined rate gyroscopes are too heavy. The smallest robot to perform controlled hovering uses a sensor suite weighing hundreds of milligrams. Here, we demonstrate that an accelerometer represents perhaps the most direct way to stabiliz… Show more

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Cited by 12 publications
(7 citation statements)
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“…The 3-state directional command presented here enabled the Metafly to perform circular trajectory tracking and to track an 8shaped circuit while keeping a constant altitude. In future studies, we would like to (i) to increase the automation of the Metafly using micro-GPSs, gyros, magnetometers or optic flow sensors while taking into account the SSWaP (Speed Size Weight and Power) constraints of micro aerial vehicles [39,40], and (ii) to improve their vector field-based trajectory tracking performances in the presence of wind and obstacles outdoors.…”
Section: Discussionmentioning
confidence: 99%
“…The 3-state directional command presented here enabled the Metafly to perform circular trajectory tracking and to track an 8shaped circuit while keeping a constant altitude. In future studies, we would like to (i) to increase the automation of the Metafly using micro-GPSs, gyros, magnetometers or optic flow sensors while taking into account the SSWaP (Speed Size Weight and Power) constraints of micro aerial vehicles [39,40], and (ii) to improve their vector field-based trajectory tracking performances in the presence of wind and obstacles outdoors.…”
Section: Discussionmentioning
confidence: 99%
“…For a single small rotorcraft, an inertial measurement unit (IMU) and an altitude sensor (such as time-offlight, time-of-flight [ToF], and camera) can form a minimal sensing suite for the robots to achieve sensor autonomy and realize stable flight. [47,48] Since the cooperative aerial transport task typically further demands coordination between agents to prevent a collision between agents and payload oscillations, additional sensory feedback is required for controlling the group formation on top of the flight stability at the individual level. The awareness of other robots becomes crucial, and this is conventionally provided by GPS, MoCap, or extra onboard cameras, as mentioned earlier (refer to the column "Relative positioning" in Table 1).…”
Section: Control Autonomy Of Aerial Cooperative Transportmentioning
confidence: 99%
“…We adopt the SCM method to fabricate the wing hinges, transmissions, and wings that move at 400 Hz. One challenge of the SCM fabrication approach is that a robot component consists of multiple (3)(4)(5)(6)(7)(8)(9)(10)(11)(12)(13)(14)(15)(16)(17)(18)(19)(20) material layers, where the laser cut file of each layer must be individually generated. To simplify this design process, we implement an algorithm that automates laser cut file generation based on key kinematic parameters.…”
Section: Automated Generation Of Laser Cut Files For the Scm Processmentioning
confidence: 99%
“…[11] They have also made substantial progress toward achieving control, sensing, and power autonomy. [12][13][14][15] However, due to limitations in robustness and fabrication scalability, these subgram MAVs have not yet demonstrated simultaneous flights. Unlike aerial insects, most subgram MAVs are fragile against in-flight collisions, which prohibit them from flying near obstacles or each other.…”
Section: Introductionmentioning
confidence: 99%