27 research outputs found

    A Comparison between Frame-based and Event-based Cameras for Flapping-Wing Robot Perception

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    Perception systems for ornithopters face severe challenges. The harsh vibrations and abrupt movements caused during flapping are prone to produce motion blur and strong lighting condition changes. Their strict restrictions in weight, size, and energy consumption also limit the type and number of sensors to mount onboard. Lightweight traditional cameras have become a standard off-the-shelf solution in many flapping-wing designs. However, bioinspired event cameras are a promising solution for ornithopter perception due to their microsecond temporal resolution, high dynamic range, and low power consumption. This paper presents an experimental comparison between frame-based and an event-based camera. Both technologies are analyzed considering the particular flapping-wing robot specifications and also experimentally analyzing the performance of well-known vision algorithms with data recorded onboard a flapping-wing robot. Our results suggest event cameras as the most suitable sensors for ornithopters. Nevertheless, they also evidence the open challenges for event-based vision on board flapping-wing robots

    Braking and Body Angles Control of an Insect-Computer Hybrid Robot by Electrical Stimulation of Beetle Flight Muscle in Free Flight

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    While engineers put lots of effort, resources, and time in building insect scale micro aerial vehicles (MAVs) that fly like insects, insects themselves are the real masters of flight. What if we would use living insect as platform for MAV instead? Here, we reported a flight control via electrical stimulation of a flight muscle of an insect-computer hybrid robot, which is the interface of a mountable wireless backpack controller and a living beetle. The beetle uses indirect flight muscles to drive wing flapping and three major direct flight muscles (basalar, subalar and third axilliary (3Ax) muscles) to control the kinematics of the wings for flight maneuver. While turning control was already achieved by stimulating basalar and 3Ax muscles, electrical stimulation of subalar muscles resulted in braking and elevation control in flight. We also demonstrated around 20 degrees of contralateral yaw and roll by stimulating individual subalar muscle. Stimulating both subalar muscles lead to an increase of 20 degrees in pitch and decelerate the flight by 1.5 m/s2 as well as an induce an elevation of 2 m/s2.Comment: 9 pages, 7 figures, supplemental video: https://youtu.be/P9dxsSf14LY . Cyborg and Bionic Systems 202

    Insect inspired visual motion sensing and flying robots

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    International audienceFlying insects excellently master visual motion sensing techniques. They use dedicated motion processing circuits at a low energy and computational costs. Thanks to observations obtained on insect visual guidance, we developed visual motion sensors and bio-inspired autopilots dedicated to flying robots. Optic flow-based visuomotor control systems have been implemented on an increasingly large number of sighted autonomous robots. In this chapter, we present how we designed and constructed local motion sensors and how we implemented bio-inspired visual guidance scheme on-board several micro-aerial vehicles. An hyperacurate sensor in which retinal micro-scanning movements are performed via a small piezo-bender actuator was mounted onto a miniature aerial robot. The OSCAR II robot is able to track a moving target accurately by exploiting the microscan-ning movement imposed to its eye's retina. We also present two interdependent control schemes driving the eye in robot angular position and the robot's body angular position with respect to a visual target but without any knowledge of the robot's orientation in the global frame. This "steering-by-gazing" control strategy, which is implemented on this lightweight (100 g) miniature sighted aerial robot, demonstrates the effectiveness of this biomimetic visual/inertial heading control strategy

    ๊ผฌ๋ฆฌ๋‚ ๊ฐœ ์—†๋Š” ๋‚ ๊ฐฏ์ง“ ์ดˆ์†Œํ˜• ๋น„ํ–‰์ฒด์˜ ์ž์„ธ์กฐ์ ˆ

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    ํ•™์œ„๋…ผ๋ฌธ (๋ฐ•์‚ฌ) -- ์„œ์šธ๋Œ€ํ•™๊ต ๋Œ€ํ•™์› : ๊ณต๊ณผ๋Œ€ํ•™ ๊ธฐ๊ณ„ํ•ญ๊ณต๊ณตํ•™๋ถ€, 2020. 8. ๊น€ํ˜„์ง„.์ตœ๊ทผ ์ƒ์ฒด๋ชจ๋ฐฉ์— ๋Œ€ํ•œ ๊ด€์‹ฌ์ด ์ปค์ง€๋ฉด์„œ ์ƒ๋ช…์ฒด์˜ ๊ตฌ์กฐ, ์™ธํ˜•, ์›€์ง์ž„, ํ–‰๋™์„ ๋ถ„์„ํ•˜์—ฌ ๊ทธ๋“ค์˜ ์žฅ์ ์„ ๋กœ๋ด‡์— ์ ์šฉ์‹œ์ผœ ๊ธฐ์กด์˜ ๋กœ๋ด‡์ด ํ•ด๊ฒฐํ•  ์ˆ˜ ์—†๊ฑฐ๋‚˜ ํŠน๋ณ„ํ•œ ์ž„๋ฌด๋ฅผ ์ข€ ๋” ํšจ๊ณผ, ํšจ์œจ์ ์œผ๋กœ ํ•ด๊ฒฐํ•˜๋ ค๋Š” ์‹œ๋„๊ฐ€ ๋Š˜์–ด๋‚˜๊ณ  ์žˆ๋‹ค. ์ด๋Ÿฌํ•œ ์‹œ๋„๋Š” ๋ฌด์ธ๋น„ํ–‰์ฒด ๊ฐœ๋ฐœ์—๋„ ์ ์šฉ๋˜๊ณ  ์žˆ์œผ๋ฉฐ ๋‚ ๊ฐฏ์ง“ ๋น„ํ–‰์ฒด๊ฐ€ ์ด์— ํ•ด๋‹น๋œ๋‹ค. ๋‚ ๊ฐœ์ง“ ๋น„ํ–‰์ฒด๋Š” ๋‚ ๊ฐœ์˜ ๋ฐ˜๋ณต์šด๋™์„ ํ†ตํ•ด ๋ฐœ์ƒํ•˜๋Š” ํž˜์„ ํ†ตํ•ด ๋น„ํ–‰ํ•˜๋Š” ๋น„ํ–‰์ฒด๋กœ ์ผ๋ฐ˜์ ์œผ๋กœ ๊ผฌ๋ฆฌ๋‚ ๊ฐœ์˜ ์œ ๋ฌด์— ๋”ฐ๋ผ ์ƒˆ๋ฅผ ๋ชจ๋ฐฉํ•œ ๋น„ํ–‰์ฒด(๋ฏธ์ตํ˜• ๋น„ํ–‰์ฒด)์™€ ๊ณค์ถฉ์„ ๋ชจ๋ฐฉํ•œ ๋น„ํ–‰์ฒด(๋ฌด๋ฏธ์ตํ˜• ๋น„ํ–‰์ฒด)๋กœ ๊ตฌ๋ถ„ํ•  ์ˆ˜ ์žˆ๋‹ค. ๋ฌด๋ฏธ์ตํ˜• ๋น„ํ–‰์ฒด์˜ ๊ฒฝ์šฐ ์ œ์ž๋ฆฌ ๋น„ํ–‰์„ ํ•  ์ˆ˜ ์žˆ๊ณ , ํฌ๊ธฐ๊ฐ€ ์ž‘๊ณ  ๋ฌด๊ฒŒ๊ฐ€ ๊ฐ€๋ฒผ์›Œ ๊ณต๊ธฐ์ €ํ•ญ๋„ ์ค„์ผ ์ˆ˜ ์žˆ์œผ๋ฉฐ, ๋‚ ๋ ตํ•œ ๋น„ํ–‰์ด ๊ฐ€๋Šฅํ•˜๋‹ค๋Š” ์žฅ์ ์ด ์žˆ์ง€๋งŒ, ์ˆ˜๋™ ์•ˆ์ •์„ฑ์„ ํ™•๋ณดํ•˜๊ธฐ ์œ„ํ•œ ์ œ์–ด๋ฉด์ด ์ถฉ๋ถ„ํ•˜์ง€ ์•Š๊ณ  ์ถ”๋ ฅ ์ƒ์„ฑ๊ณผ ๋™์‹œ์— 3์ถ•์œผ๋กœ์˜ ์ œ์–ด ๋ชจ๋ฉ˜ํŠธ๋ฅผ ๋งŒ๋“ค ์ˆ˜ ์žˆ๋Š” ๋ณต์žกํ•œ ๋งค์ปค๋‹ˆ์ฆ˜์„ ๊ฐ€์ง€๊ณ  ์žˆ๋‹ค๋Š” ํŠน์ง•์„ ๊ฐ€์ง€๊ณ  ์žˆ๋‹ค. ๋ณธ ๋…ผ๋ฌธ์—์„œ๋Š” ์ €์ž์˜ ๋ฏธ์ตํ˜• ๋น„ํ–‰์ฒด์˜ ์—ฐ๊ตฌ๊ฐœ๋ฐœ ์‚ฌ๋ก€๋ฅผ ํ† ๋Œ€๋กœ ์ž์œจ ๋น„ํ–‰์„ ํ•  ์ˆ˜ ์žˆ๋Š” ๋ฌด๋ฏธ์ตํ˜• ๋น„ํ–‰์ฒด๋ฅผ ๊ฐœ๋ฐœํ•˜๊ธฐ ์œ„ํ•œ ์š”์†Œ๊ธฐ์ˆ ๋“ค๊ณผ ์ดˆ๊ธฐ ๋น„ํ–‰์ฒด ๊ฐœ๋ฐœ์„ ๋ชฉํ‘œ๋กœ ํ•œ๋‹ค. ํ•ด๋‹น ๋ชฉํ‘œ๋ฅผ ๋‹ฌ์„ฑํ•˜๊ธฐ ์œ„ํ•ด ์ €์ž๋Š” ์‹œ์ค‘์—์„œ ํŒ๋งค๋˜๊ณ  ์žˆ๋Š” RC์žฅ๋‚œ๊ฐ์„ ํ™œ์šฉํ•ด 30 gram ์ดํ•˜์˜ ๋ฌด๊ฒŒ๋ฅผ ๊ฐ€์ง€๊ณ  30cm3 ์ด๋‚ด์˜ ํฌ๊ธฐ๋ฅผ ๊ฐ€์ง€๋Š” ๋ฌด๋ฏธ์ตํ˜• ๋‚ ๊ฐฏ์ง“ ๋น„ํ–‰์ฒด๋ฅผ ๊ฐœ๋ฐœ์„ ์ง„ํ–‰ํ•˜์˜€๋‹ค. ๋น„ํ–‰์ฒด ๋‚ด๋ถ€์—๋Š” ๊ตฌ๋™๊ธฐ๋กœ DC ๋ชจํ„ฐ์™€ ์„œ๋ณด๋ชจํ„ฐ๊ฐ€ ์กด์žฌํ•˜๋ฉฐ, DC ๋ชจํ„ฐ๋Š” ๋‚ ๊ฐฏ์ง“์„ ์ผ์œผํ‚ค๋Š” ๊ธฐ์–ด ๋ฐ•์Šค๋ฅผ ์ž‘๋™์‹œ์ผœ ๋น„ํ–‰์ฒด์˜ ๋ฌด๊ฒŒ๋ฅผ ์ง€ํƒฑํ•˜๊ธฐ ์œ„ํ•œ thrust๋ฅผ ์ƒ์„ฑํ•˜๋ฉฐ roll์ถ• ๋ฐฉํ–ฅ์œผ๋กœ์˜ moment ์ƒ์„ฑ์— ๊ด€์—ฌํ•˜๋ฉฐ, ์„œ๋ณด๋ชจํ„ฐ๋Š” ๋‚ ๊ฐฏ์ง“์—์„œ ๋ฐœ์ƒํ•˜๋Š” ์ขŒ์šฐ thrust์˜ ๋ฐฉํ–ฅ์„ ์กฐ์ ˆํ•˜์—ฌ pitch ์™€ yaw ์ถ•์œผ๋กœ์˜ ๋ชจ๋ฉ˜ํŠธ๋ฅผ ์ƒ์„ฑํ•˜๋Š”๋ฐ ์‚ฌ์šฉ๋œ๋‹ค. ๋น„ํ–‰์ฒด ๋‚ด๋ถ€์—๋Š” ์•„๋‘์ด๋…ธ ๋ณด๋“œ ๊ธฐ๋ฐ˜์˜ ๋งˆ์ดํฌ๋กœํ”„๋กœ์„ธ์„œ๊ฐ€ ํƒ‘์žฌ๋˜์–ด ์žˆ์–ด ๋น„ํ–‰์ฒด๋ฅผ ์ œ์–ดํ•˜๊ธฐ ์œ„ํ•œ ์‹ ํ˜ธ๋ฅผ ์ƒ์„ฑํ•  ์ˆ˜ ์žˆ์œผ๋ฉฐ ๋ธ”๋ฃจํˆฌ์Šค ํ†ต์‹  ๋ชจ๋“ˆ์„ ๊ฐ€์ง€๊ณ  ์žˆ๊ธฐ ๋•Œ๋ฌธ์— ์™ธ๋ถ€์™€ ํ†ต์‹  ์—ญ์‹œ ๊ฐ€๋Šฅํ•˜๋‹ค. ๋น„ํ–‰์ฒด์˜ ์ž์„ธ๋ฅผ ์ œ์–ดํ•˜๊ธฐ ์œ„ํ•ด์„œ๋Š” ๊ตฌ๋™๊ธฐ์˜ ์ƒํ˜ธ์ž‘์šฉ์œผ๋กœ ์ธํ•ด ๋ฐœ์ƒํ•˜๋Š” ํž˜์˜ ๋ฌผ๋ฆฌ๋Ÿ‰์„ ํŒŒ์•…ํ•˜๋Š” ๊ฒƒ์ด ์ค‘์š”ํ•˜๋‹ค. ์ด๋ฅผ ์œ„ํ•ด ๋‚ ๊ฐฏ์ง“ ๋ฉ”์ปค๋‹ˆ์ฆ˜์—์„œ ๋ฐœ์ƒํ•˜๋Š” ํž˜์„ ์ธก์ •ํ•˜๋Š” ์‹คํ—˜์„ ์ˆ˜ํ–‰ํ•˜์˜€๋‹ค. ์ธก์ •์‹คํ—˜์„ ํ†ตํ•ด DC๋ชจํ„ฐ ์ž…๋ ฅ ๋Œ€๋น„ thrust ํฌ๊ธฐ, ์„œ๋ณด๋ชจํ„ฐ command ์ž…๋ ฅ ๋Œ€๋น„ moment ํฌ๊ธฐ ๋“ฑ์˜ ๊ด€๊ณ„๋ฅผ ํŒŒ์•…ํ•˜์˜€๋‹ค. ๋˜ํ•œ ๋‚ ๊ฐฏ์ง“ ๋น„ํ–‰์ฒด๋ฅผ ๊ณต์ค‘์— ๋„์šธ ์ˆ˜ ์žˆ๋Š” ์ถฉ๋ถ„ํ•œ ํฌ๊ธฐ์˜ thrust๋ฅผ ๋ฐœ์ƒํ•˜๋Š” ๊ฒƒ์„ ํ™•์ธํ•˜์˜€์œผ๋ฉฐ ์ž์„ธ ์ œ์–ด๋ฅผ ์œ„ํ•œ ๋ชจ๋ฉ˜ํŠธ ์ƒ์„ฑ ์—ญ์‹œ ๊ฐ€๋Šฅํ•˜๋‹ค๋Š” ๊ฒƒ์„ ํ™•์ธํ•˜์˜€๋‹ค. ๋น„ํ–‰์ฒด์˜ ์ž์„ธ๋ฅผ ์ œ์–ดํ•˜๊ธฐ ์œ„ํ•ด์„œ๋Š” 3์ถ• ๋ฐฉํ–ฅ์œผ๋กœ์˜ ์šด๋™๋ฐฉ์ •์‹์„ ์œ ๋„ํ•˜๋Š” ๊ฒƒ์ด ํ•„์š”ํ•˜๋‹ค. ์ด๋ฅผ ์œ„ํ•ด roll, pitch, yaw ์ถ• ๋ฐฉํ–ฅ์œผ๋กœ ๋น„ํ–‰์ฒด์—์„œ ๋ฐœ์ƒํ•˜๋Š” ํž˜๊ณผ ํšŒ์ „ ์šด๋™๊ณผ ๊ด€๋ จํ•œ ์šด๋™๋ฐฉ์ •์‹์„ ์œ ๋„ํ–ˆ์œผ๋ฉฐ ์ด๋ฅผ ํ†ตํ•ด ๋น„ํ–‰์ฒด์˜ ์ž์„ธ๋ฅผ ์•ˆ์ •ํ™”์‹œํ‚ฌ ์ˆ˜ ์žˆ๋„๋ก ํ•˜๋Š” PID ์ œ์–ด๊ธฐ ํ˜•ํƒœ์˜ ์ œ์–ด๊ธฐ๋ฅผ ์„ค๊ณ„ํ•˜์˜€๋‹ค. ๋ฟ๋งŒ ์•„๋‹ˆ๋ผ, ๋น„ํ–‰์ฒด์˜ ๊ถค์ ์ถ”์ข… ์ œ์–ด๋ฅผ ์œ„ํ•ด ๋‚ด๋ถ€์˜ ์ž์„ธ ์ œ์–ด๊ธฐ์— ๋น„ํ–‰์ฒด์˜ ์œ„์น˜๋ฅผ ํ† ๋Œ€๋กœ ๊ณ„์‚ฐ๋˜๋Š” ์ถ”๊ฐ€์ ์ธ ์™ธ๋ถ€ ์ œ์–ด๊ธฐ๋ฅผ ์„ค๊ณ„ํ•˜์—ฌ ์ด์ค‘๋ฃจํ”„ ์ œ์–ด๊ธฐ ํ˜•ํƒœ๋ฅผ ์ ์šฉ์‹œ์ผœ ์‹œ๋ฎฌ๋ ˆ์ด์…˜์„ ํ†ตํ•ด ๋น„ํ–‰์ฒด์˜ ์ž์„ธ ์ œ์–ด์™€ ๊ถค์  ์ถ”์ข… ์ œ์–ด๊ฐ€ ์ด๋ฃจ์–ด์ง์„ ํ™•์ธํ•˜์˜€๋‹ค. ๊ฐœ๋ฐœํ•œ ๋น„ํ–‰์ฒด์™€ ์•ž์„œ ์„ค๊ณ„ํ•œ ์ œ์–ด๊ธฐ๊ฐ€ ์‚ฌ์šฉ์ž์˜ ์˜๋„์— ๋งž๋Š” ์„ฑ๋Šฅ์„ ๋‚ด๋Š”์ง€ ํ™•์ธํ•˜๊ธฐ ์œ„ํ•ด ์ž์ด๋กœ ์‹คํ—˜์žฅ์น˜๋ฅผ ์ œ์ž‘ํ•˜์—ฌ ์ž์„ธ ์ œ์–ด ์‹คํ—˜์„ ์ˆ˜ํ–‰ํ•˜์˜€๋‹ค. ํ•ด๋‹น ์‹คํ—˜์žฅ์น˜๋Š” roll, pitch, yaw ์ถ•์œผ๋กœ ํšŒ์ „์ด ๊ฐ€๋Šฅํ•˜๋„๋ก ์ œ์ž‘ํ•˜์˜€์œผ๋ฉฐ ์‹คํ—˜์žฅ์น˜ ์ž์ฒด์˜ ๋ฌด๊ฒŒ๋ฅผ ์ค„์ด๊ธฐ ์œ„ํ•ด MDF ์†Œ์žฌ๋ฅผ ์‚ฌ์šฉํ•˜์—ฌ ๊ตฌ์กฐ๋ฌผ๋ฅผ ๋งŒ๋“ค์—ˆ๋‹ค. roll, pitch, yaw 3์ถ•์ด ๊ฐ๊ฐ ๋…๋ฆฝ์ ์œผ๋กœ ์ œ์–ดํ•˜๋Š” ๊ฒƒ๊ณผ 3์ถ•์„ ๋™์‹œ์— ์ œ์–ดํ•˜๋Š” 2๊ฐ€์ง€ ์ƒํ™ฉ์„ ๊ณ ๋ คํ•˜์˜€์œผ๋ฉฐ ์•ž์„œ ์„ค๊ณ„ํ•œ ์ œ์–ด๊ธฐ๊ฐ€ ํ•ด๋‹น ์‹คํ—˜ ์žฅ์น˜ ๋‚ด๋ถ€์—์„œ ์‚ฌ์šฉ์ž์˜ ์˜๋„์— ๋งž๊ฒŒ ์ œ์–ด ์„ฑ๋Šฅ์„ ๋ณด์ด๋Š”์ง€ ํ™•์ธํ•  ์ˆ˜ ์žˆ์—ˆ๋‹ค. ๊ถค์  ์ถ”์ข…์ œ์–ด๋ฅผ ์œ„ํ•ด์„œ๋Š” 2๊ฐ€์ง€ ๋น„ํ–‰ ์ƒํ™ฉ์„ ์„ค์ •ํ•˜์˜€๋‹ค. ์ฒซ ๋ฒˆ์งธ ๊ฒฝ์šฐ, ์ฒœ์žฅ๊ณผ ๋น„ํ–‰์ฒด ์ƒ๋‹จ๋ถ€์— ์‹ค์„ ์—ฐ๊ฒฐํ•˜์—ฌ 2D ํ‰๋ฉด์ƒ์—์„œ ๋น„ํ–‰์ฒด๊ฐ€ ์ฃผ์›Œ์ง„ ๊ถค์ ์— ๋”ฐ๋ผ ์›€์ง์ด๋Š”์ง€, ๋‘ ๋ฒˆ์งธ ๊ฒฝ์šฐ, ๋น„ํ–‰์ฒด ์ƒ๋‹จ๋ถ€์— ํ—ฌ๋ฅจ์ด ์ฃผ์ž…๋œ ํ’์„ ์„ ์—ฐ๊ฒฐ์‹œ์ผœ 3D ๊ณต๊ฐ„์ƒ์—์„œ ์ฃผ์›Œ์ง„ ๊ถค์ ์„ ๋”ฐ๋ผ ์ถ”์ข… ๋น„ํ–‰ํ•˜๋Š”์ง€๋ฅผ ํ™•์ธํ•  ์ˆ˜ ์žˆ๋Š” ์ƒํ™ฉ์ด๋‹ค. ๋‘ ๊ฐ€์ง€ ์ƒํ™ฉ์—์„œ ๋ชจ๋‘ ๋‹ค์–‘ํ•œ ํ˜•ํƒœ์˜ ๊ถค์ ์„ ๋น„ํ–‰์ฒด๊ฐ€ ์ž˜ ์ถ”์ข…ํ•˜๋Š”์ง€๋ฅผ ํ™•์ธํ•  ์ˆ˜ ์žˆ์—ˆ๋‹ค. ๋์œผ๋กœ, ์™ธ๋ถ€ ์žฅ์น˜(์‹ค, ํ’์„ )๋ฅผ ์ œ๊ฑฐํ•˜์—ฌ ๊ณต์ค‘์—์„œ ๋น„ํ–‰์ฒด๊ฐ€ ์ œ์ž๋ฆฌ ๋น„ํ–‰์„ ํ•  ์ˆ˜ ์žˆ๋Š”์ง€๋ฅผ ๊ฒ€์ฆํ•˜๋Š” ์‹คํ—˜์„ ์ง„ํ–‰ํ•˜์˜€์œผ๋ฉฐ, 15์ดˆ๊ฐ€๋Ÿ‰ 1m3 ๊ณต๊ฐ„ ๋‚ด์—์„œ ์ œ์ž๋ฆฌ ๋น„ํ–‰์ด ์ด๋ฃจ์–ด์ง€๋Š” ๊ฒƒ์„ ํ™•์ธํ•˜์˜€๋‹ค.Flapping wing micro air vehicles (FWMAVs) that generate thrust and lift by flapping their wings are regarded as promising flight vehicles because of their advantages in terms of similar appearance and maneuverability to natural creatures. Reducing weight and air resistance, insect-inspired tailless FWMAVs are an attractive aerial vehicle rather than bird-inspired FWMAVs. However, they are challenging platforms to achieve autonomous flight because they have insufficient control surfaces to secure passive stability and a complicated wing mechanism for generating three-axis control moments simultaneously. In this thesis, as preliminary autonomous flight research, I present the study of an attitude regulation and trajectory tracking control of a tailless FWMAV developed. For these tasks, I develop my platform, which includes two DC motors for generating thrust to support its weight and servo motors for generating three-axis control moments to regulate its flight attitude. First, I conduct the force and moment measurement experiment to confirm the magnitude and direction of the lift and moment generated from the wing mechanism. From the measurement test, it is confirmed that the wing mechanism generates enough thrust to float the vehicle and control moments for attitude regulation. Through the dynamic equations in the three-axis direction of the vehicle, a controller for maintaining a stable attitude of the vehicle can be designed. To this end, a dynamic equation related to the rotational motion in the roll, pitch, and yaw axes is derived. Based on the derived dynamic equations, we design a proportional-integral-differential controller (PID) type controller to compensate for the attitude of the vehicle. Besides, we use a multi-loop control structure (inner-loop: attitude control, outer-loop: position control) to track various trajectories. Simulation results show that the designed controller is effective in regulating the platforms attitude and tracking a trajectory. To check whether the developed vehicle and the designed controller are operating effectively to regulate its attitude, I design a lightweight gyroscope apparatus using medium-density-fiberboard (MDF) material. The rig is capable of freely rotating in the roll, pitch, and yaw axes. I consider two situations in which each axis is controlled independently, and all axes are controlled simultaneously. In both cases, attitude regulation is properly performed. Two flight situations are considered for the trajectory tracking experiment. In the first case, a string connects between the ceiling and the top of the platform. In the second case, the helium-filled balloon is connected to the top of the vehicle. In both cases, the platform tracks various types of trajectories well in error by less than 10 cm. Finally, an experiment is conducted to check whether the tailless FWMAV could fly autonomously in place by removing external devices (string, balloon), and the tailless FWMAV flies within 1 m^3 space for about 15 seconds1.Introduction 1 1.1 Background & Motivation 1 1.2 Literature review 3 1.3 Thesis contribution 7 1.4 Thesis outline 8 2.Design of tailless FWMAV 13 2.1 Platform appearance 13 2.2 Flight control system 17 2.3 Principle of actuator mechanism 18 3.Force measurement experiment 28 3.1 Measurement setup 28 3.2 Measurement results 30 4.Dynamics & Controller design 37 4.1 Preliminary 37 4.2 Dynamics & Attitude control 39 4.2.1 Roll direction 41 4.2.2 Pitch direction 43 4.2.3 Yaw direction 45 4.2.4 PID control 47 4.3 Trajectory tracking control 48 5.Attitude regulation experiments 50 5.1 Design of gyroscope testbed 50 5.2 Experimental environment 52 5.3 Roll axis free 53 5.3.1 Simulation 54 5.3.2 Experiment 55 5.4 Pitch axis free 56 5.4.1 Simulation 57 5.4.2 Experiment 58 5.5 Yaw axis free 59 5.5.1 Simulation 59 5.5.2 Experiment 60 5.6 All axes free 60 5.6.1 Simulation 60 5.6.2 Experiment 61 5.7 Design of universal joint testbed & Experiment 64 6.Trajectory tracking 68 6.1 Simulation 68 6.2 Preliminary 69 6.3 Experiment: Tied-to-the-ceiling 70 6.4 Experiment: Hung-to-a-balloon 71 6.5 Summary 72 6.6 Hovering flight 73 7.Conclusion 83 A Appendix: Wing gearbox 85 A.1 4-bar linkage structure 85 B Appendix: Disturbance observer (DOB) 87 B.1 DOB controller 87 B.2 Simulation 89 B.2.1 Step input 89 B.2.2 Sinusoid input 91 B.3 Experiment 92 References 95Docto

    Power-Scavenging MEMS Robots

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    This thesis includes the design, modeling, and testing of novel, power-scavenging, biologically inspired MEMS microrobots. Over one hundred 500-ฮผm and 990-ฮผm microrobots with two, four, and eight wings were designed, fabricated, characterized. These microrobots constitute the smallest documented attempt at powered flight. Each microrobot wing is comprised of downward-deflecting, laser-powered thermal actuators made of gold and polysilicon; the microrobots were fabricated in PolyMUMPsยฎ (Polysilicon Multi-User MEMS Processes). Characterization results of the microrobots illustrate how wing-tip deflection can be maximized by optimizing the gold-topolysilicon ratio as well as the dimensions of the actuator-wings. From these results, an optimum actuator-wing configuration was identified. It also was determined that the actuator-wing configuration with maximum deflection and surface area yet minimum mass had the greatest lift-to-weight ratio. Powered testing results showed that the microrobots successfully scavenged power from a remote 660-nm laser. These microrobots also demonstrated rapid downward flapping, but none achieved flight. The results show that the microrobots were too heavy and lacked sufficient wing surface area. It was determined that a successfully flying microrobot can be achieved by adding a robust, light-weight material to the optimum actuator-wing configurationโ€”similar to insect wings. The ultimate objective of the flying microrobot project is an autonomous, fully maneuverable flying microrobot that is capable of sensing and acting upon a target. Such a microrobot would be capable of precise lethality, accurate battle-damage assessment, and successful penetration of otherwise inaccessible targets

    Aquatic escape for micro-aerial vehicles

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    As our world is experiencing climate changes, we are in need of better monitoring technologies. Most of our planet is covered with water and robots will need to move in aquatic environments. A mobile robotic platform that possesses e๏ฌƒcient locomotion and is capable of operating in diverse scenarios would give us an advantage in data collection that can validate climate models, emergency relief and experimental biological research. This ๏ฌeld of application is the driving vector of this robotics research which aims to understand, produce and demonstrate solutions of aerial-aquatic autonomous vehicles. However, small robots face major challenges in operating both in water and in air, as well as transition between those ๏ฌ‚uids, mainly due to the di๏ฌ€erence of density of the media. This thesis presents the developments of new aquatic locomotion strategies at small scales that further enlarge the operational domain of conventional platforms. This comprises ๏ฌ‚ight, shallow water locomotion and the transition in-between. Their operating principles, manufacturing methods and control methods are discussed and evaluated in detail. I present multiple unique aerial-aquatic robots with various water escape mechanisms, spanning over di๏ฌ€erent scales. The ๏ฌve robotic platforms showcased share similarities that are compared. The take-o๏ฌ€ methods are analysed carefully and the underlying physics principles put into light. While all presented research ful๏ฌls a similar locomotion objective - i.e aerial and aquatic motion - their relevance depends on the environmental conditions and supposed mission. As such, the performance of each vehicle is discussed and characterised in real, relevant conditions. A novel water-reactive fuel thruster is developed for impulsive take-o๏ฌ€, allowing consecutive and multiple jump-gliding from the water surface in rough conditions. At a smaller scale, the escape of a milligram robotic bee is achieved. In addition, a new robot class is demonstrated, that employs the same wings for ๏ฌ‚ying as for passive surface sailing. This unique capability allows the ๏ฌ‚exibility of ๏ฌ‚ight to be combined with long-duration surface missions, enabling autonomous prolonged aquatic monitoring.Open Acces

    DESIGN AND CONTROL OF A HUMMINGBIRD-SIZE FLAPPING WING MICRO AERIAL VEHICLE

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    Flying animals with flapping wings may best exemplify the astonishing ability of natural selection on design optimization. They evince extraordinary prowess to control their flight, while demonstrating rich repertoire of agile maneuvers. They remain surprisingly stable during hover and can make sharp turns in a split second. Characterized by high-frequency flapping wing motion, unsteady aerodynamics, and the ability to hover and perform fast maneuvers, insect-like flapping flight presents an extraordinary aerial locomotion strategy perfected at small size scales. Flapping Wing Micro Aerial Vehicles (FWMAVs) hold great promise in bridging the performance gap between engineered flying vehicles and their natural counterparts. They are perfect candidates for potential applications such as fast response robots in search and rescue, environmental friendly agents in precision agriculture, surveillance and intelligence gathering MAVs, and miniature nodes in sensor networks

    Closed-Loop Control of Constrained Flapping Wing Micro Air Vehicles

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    Micro air vehicles are vehicles with a maximum dimension of 15 cm or less, so they are ideal in confined spaces such as indoors, urban canyons, and caves. Considerable research has been invested in the areas of unsteady and low Reynolds number aerodynamics, as well as techniques to fabricate small scale prototypes. Control of these vehicles has been less studied, and most control techniques proposed have only been implemented within simulations without concern for power requirements, sensors and observers, or actual hardware demonstrations. In this work, power requirements while using a piezo-driven, resonant flapping wing control scheme, Bi-harmonic Amplitude and Bias Modulation, were studied. In addition, the power efficiency versus flapping frequency was studied and shown to be maximized while flapping at the piezo-driven system\u27s resonance. Then prototype hardware of varying designs was used to capture the impact of a specific component of the flapping wing micro air vehicle, the passive rotation joint. Finally, closed-loop control of different constrained configurations was demonstrated using the resonant flapping Bi-harmonic Amplitude and Bias Modulation scheme with the optimized hardware. This work is important in the development and understanding of eventual free-flight capable flapping wing micro air vehicle

    Taking Inspiration from Flying Insects to Navigate inside Buildings

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    These days, flying insects are seen as genuinely agile micro air vehicles fitted with smart sensors and also parsimonious in their use of brain resources. They are able to visually navigate in unpredictable and GPS-denied environments. Understanding how such tiny animals work would help engineers to figure out different issues relating to drone miniaturization and navigation inside buildings. To turn a drone of ~1 kg into a robot, miniaturized conventional avionics can be employed; however, this results in a loss of their flight autonomy. On the other hand, to turn a drone of a mass between ~1 g (or less) and ~500 g into a robot requires an innovative approach taking inspiration from flying insects both with regard to their flapping wing propulsion system and their sensory system based mainly on motion vision in order to avoid obstacles in three dimensions or to navigate on the basis of visual cues. This chapter will provide a snapshot of the current state of the art in the field of bioinspired optic flow sensors and optic flow-based direct feedback loops applied to micro air vehicles flying inside buildings
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