293 research outputs found

    ๋ฐฉํ–ฅ ์ „ํ™˜, ๋„์•ฝ ๊ฐ๋„ ์กฐ์ ˆ, ์ž์„ธ ๊ต์ •์ด ๊ฐ€๋Šฅํ•œ ์ ํ•‘ ๋กœ๋ด‡

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    ํ•™์œ„๋…ผ๋ฌธ (์„์‚ฌ)-- ์„œ์šธ๋Œ€ํ•™๊ต ๋Œ€ํ•™์› : ๊ณต๊ณผ๋Œ€ํ•™ ๊ธฐ๊ณ„ํ•ญ๊ณต๊ณตํ•™๋ถ€, 2019. 2. ์กฐ๊ทœ์ง„.๋„์•ฝ ๋กœ๋ด‡์€ ๋กœ๋ด‡ ์ž์‹ ์˜ ํฌ๊ธฐ๋ณด๋‹ค ํฐ ์žฅ์• ๋ฌผ์„ ๋„˜์–ด ์ด๋™ํ•  ์ˆ˜ ์žˆ๋‹ค. ๋„์•ฝ ์šด๋™๋งŒ์œผ๋กœ ์›ํ•˜๋Š” ์œ„์น˜์— ๋„๋‹ฌํ•˜๊ธฐ ์œ„ํ•ด ๋„๋‹ฌ ๊ฐ€๋Šฅํ•œ ๋ฒ”์œ„๋ฅผ ๋„“ํž ์ˆ˜ ์žˆ๋Š” ๋ฐฉํ–ฅ ์ „ํ™˜, ๋„์•ฝ ๊ฐ๋„ ์กฐ์ ˆ, ์ž์„ธ ๊ต์ • ๊ธฐ๋Šฅ์ด ํ†ตํ•ฉ๋œ ์ ํ•‘ ๋กœ๋ด‡๋“ค์ด ๊ฐœ๋ฐœ๋๋‹ค. ์ด ๋•Œ ์ถ”๊ฐ€ ๊ธฐ๋Šฅ์„ ํ†ตํ•ฉํ•˜๋ฉด ๋กœ๋ด‡์˜ ์งˆ๋Ÿ‰์ด ์ฆ๊ฐ€ํ•˜๊ณ  ๋„์•ฝ ์„ฑ๋Šฅ์ด ๊ฐ์†Œํ•˜๋ฏ€๋กœ ์งˆ๋Ÿ‰์„ ์ค„์ด๊ธฐ ์œ„ํ•œ ์„ค๊ณ„๊ฐ€ ํ•„์š”ํ•˜๋‹ค. ๋ณธ ๋…ผ๋ฌธ์—์„œ๋Š” ๋ฐฉํ–ฅ ์ „ํ™˜, ๋„์•ฝ ๊ฐ๋„ ์กฐ์ ˆ, ์ž์„ธ ๊ต์ •์ด ๊ฐ€๋Šฅํ•œ ๋„์•ฝ ๋กœ๋ด‡์„ ์ œ์•ˆํ•˜๋ฉฐ, ๋„์•ฝ ์„ฑ๋Šฅ ๊ฐ์†Œ๋ฅผ ์ตœ์†Œํ™”ํ•˜๊ธฐ ์œ„ํ•ด ๋ฉ”์ปค๋‹ˆ์ฆ˜๊ณผ ๊ตฌ๋™๊ธฐ๋ฅผ ๊ณต์œ ํ•  ์ˆ˜ ์žˆ๋„๋ก ๋กœ๋ด‡์ด ์„ค๊ณ„๋˜์—ˆ๋‹ค. ๋กœ๋ด‡์˜ ์งˆ๋Ÿ‰์€ 70.1 g์œผ๋กœ ์ตœ๋Œ€ ๋†’์ด 1.02 m, ์ตœ๋Œ€ ๊ฑฐ๋ฆฌ 1.28 m๋ฅผ ๋„์•ฝํ•  ์ˆ˜ ์žˆ๋‹ค. ๋˜ํ•œ, ์ „ ๋ฐฉํ–ฅ์œผ๋กœ ๋„์•ฝํ•  ์ˆ˜ ์žˆ์œผ๋ฉฐ, ๋ฐ˜๋ณต ๋„์•ฝ์œผ๋กœ ๋” ๋จผ ๊ณณ์— ๋„๋‹ฌํ•  ์ˆ˜ ์žˆ๋‹ค. ๋กœ๋ด‡์˜ ๊ฑฐ๋™์„ ์˜ˆ์ธกํ•  ์ˆ˜ ์žˆ๋Š” ๋™์—ญํ•™ ๋ชจ๋ธ์„ ์„ธ์› ์œผ๋ฉฐ, ๋ฏธ๋„๋Ÿฌ์ง์ด ์—†์ด ๋„์•ฝํ•˜๋Š” ๊ฒฝ์šฐ๋ฟ๋งŒ ์•„๋‹ˆ๋ผ ๋ฏธ๋„๋Ÿฌ์ง์ด ํฌํ•จ๋œ ๋„์•ฝ์— ๋Œ€ํ•ด์„œ๋„ ๋กœ๋ด‡์˜ ๊ฑฐ๋™์„ ํ™•์ธํ•˜๊ณ  ๋„์•ฝ ๊ถค์ ์„ ๊ณ„ํšํ•  ์ˆ˜ ์žˆ๋‹ค. ๊ตฌ๋™๊ธฐ์˜ ์ˆ˜๋ณด๋‹ค ๋งŽ์€ ๊ธฐ๋Šฅ์˜ ์ˆ˜๋ฅผ ๊ตฌํ˜„ํ•˜๋Š” ์„ค๊ณ„ ๋ฐฉ๋ฒ•์€ ๋‹ค๋ฅธ ์†Œํ˜• ๋กœ๋ด‡์˜ ์„ค๊ณ„์— ์ ์šฉํ•  ์ˆ˜ ์žˆ์„ ๊ฒƒ์ด๋‹ค. ์ด ๋กœ๋ด‡์€ ๋น„์ •ํ˜• ํ™˜๊ฒฝ์—์„œ ์ˆ˜์ƒ‰, ์ •์ฐฐ ํ˜น์€ ํƒ์‚ฌ์™€ ๊ฐ™์€ ์ž„๋ฌด๋ฅผ ์ˆ˜ํ–‰ํ•˜๋Š” ๋ฐ ํ™œ์šฉ ๊ฐ€๋Šฅํ•  ๊ฒƒ์ด๋‹ค.Jumping enables the robot to overcome obstacles that are larger than its own size. In order to reach the desired location with only jumping, the jumping robots integrated with additional functions โ€“steering, adjusting the take-off angle, and self-righting โ€“ have been developed to expand the reachable range of the robot. Design to reduce mass is required as the integration of additional functions increases the mass of the robot and reduces the jumping performance. In this thesis, a jumping robot capable of steering, adjusting the take-off angle, and self-righting is proposed with the design of actuator and mechanism sharing to minimize the jumping performance degradation. The robot, with a mass of 70.1 g jumps up to 1.02 m in vertical height, and 1.28 m in horizontal distance. It can change the jumping height and distance by adjusting the take-off angle from 40ยฐ to 91.9ยฐ. The robot can jump in all directions, and it can reach farther through multiple jumps. A dynamic model is established to predict the behavior of the robot and plan the jumping trajectory not only for jumping without slip but also for jumping with slip. The design method to implement more functions than the number of actuators can be applied to design other small-scale robots. This robot can be deployed to unstructured environments to perform tasks such as search and rescue, reconnaissance, and exploration.Abstract โ…ฐ Contents โ…ฒ List of Tables โ…ด List of Figures โ…ต Chapter 1. Introduction 1 1.1. Motivation 1 1.2. Research Objectives and Contributions 3 1.3. Research Overview 6 Chapter 2. Design 7 2.1. Jumping 8 2.2. Steering 10 2.3. Take-off Angle Adjustment 12 2.4. Self-Righting 13 2.5. Integration 16 Chapter 3. Analysis 19 3.1. Dynamic Modeling 19 3.2. Simulated Results 24 3.3. Jumping Trajectory Planning 33 Chapter 4. Result 35 4.1. Performance 35 4.2. Demonstration 40 Chapter 5. Conclusion 46 Bibliography 49 ๊ตญ๋ฌธ ์ดˆ๋ก 53Maste

    Towards a self-deploying and gliding robot

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    Strategies for hybrid locomotion such as jumping and gliding are used in nature by many different animals for traveling over rough terrain. This combination of locomotion modes also allows small robots to overcome relatively large obstacles at a minimal energetic cost compared to wheeled or flying robots. In this chapter we describe the development of a novel palm sized robot of 10\,g that is able to autonomously deploy itself from ground or walls, open its wings, recover in midair and subsequently perform goal- directed gliding. In particular, we focus on the subsystems that will in the future be integrated such as a 1.5\,g microglider that can perform phototaxis; a 4.5\,g, bat-inspired, wing folding mechanism that can unfold in only 50\,ms; and a locust-inspired, 7\,g robot that can jump more than 27 times its own height. We also review the relevance of jumping and gliding for living and robotic systems and we highlight future directions for the realization of a fully integrated robot

    Bioinspired Jumping Locomotion for Miniature Robotics

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    In nature, many small animals use jumping locomotion to move in rough terrain. Compared to other modes of ground locomotion, jumping allows an animal to overcome obstacles that are relatively large compared to its size. In this thesis we outline the main design challenges that need to be addressed when building miniature jumping robots. We then present three novel robotic jumpers that solve those challenges and outperform existing similar jumping robots by one order of magnitude with regard to jumping height per size and weight. The robots presented in this thesis, called EPFL jumper v1, EPFL jumper v2 and EPFL jumper v3 have a weight between 7g and 14.3g and are able to jump up to 27 times their own size, with onboard energy and control. This high jumping performance is achieved by using the same mechanical design principles as found in jumping insects such as locusts or fleas. Further, we present a theoretical model which allows an evaluation whether the addition of wings could potentially allow a jumping robot to prolong its jumps. The results from the model and the experiments with a winged jumping robot indicate that for miniature robots, adding wings is not worthwhile when moving on ground. However, when jumping from an elevated starting position, adding wings can lead to longer distances traveled compared to jumping without wings. Moreover, it can reduce the kinetic energy on impact which needs to be absorbed by the robot structure. Based on this conclusion, we developed the EPFL jumpglider, the first miniature jumping and gliding robot that has been presented so far. It has a mass of 16.5g and is able to jump from elevated positions, perform steered gliding flight, land safely and locomote on ground with repetitive jumps1. ______________________________ 1See the collection of the accompanying videos at http://lis.epfl.ch/microglider/moviesAll.zi

    Observing and modelling the legless jumping mechanism of click beetles for bio-inspired robotic design

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    Click beetles (Coleoptera: Elateridae) have evolved a unique jumping mechanism to right themselves when on their dorsal side without using their legs or any other appendages. This work describes and analyzes the stages of the click beetle jump using high-speed video recordings and scanning electron micrographs of six beetle species, namely Alaus oculatus, Ampedus linteus, Hemicrepidius sp., Melanactes sp., Melanotus spp. and Parallelosthetus attenuatus. The jump of the click beetle is divided into three consecutive stages: the pre-jump stage (energy storage), and the take-off and airborne stages (energy release). Morphological measurements of the previously mentioned species as well as three additional species, namely Agriotes sp., Athous sp. and Lacon discoideus are taken, and isometric scaling across the species is observed. The body of the click beetle is considered as two masses linked by a hinge. Dynamic and kinematic models of the jump stages are developed. Non-dimensional analysis of the airborne stage is used to analyze the jump and identify the contribution of kinematic and morphological governing parameters. An energetics model is developed to describe the energy exchanges between the three stages of the jump. Kinematic and dynamic models are used to calculate the hinge stiffness and the elastic energy stored in the body during the jump. The derived models provide a framework that will be used for the design of a click beetle inspired self-righting robot

    Swarm Intelligent in Bio-Inspired Perspective: A Summary

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    This paper summarizes the research performed in the field of swarm intelligent in recent years. The classification of swarm intelligence based on behavior is introduced.  The principles of each behaviors, i.e. foraging, aggregating, gathering, preying, echolocation, growth, mating, clustering, climbing, brooding, herding, and jumping are described. 3 algorithms commonly used in swarm intelligent are discussed.  At the end of summary, the applications of the SI algorithms are presented

    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

    Swarm Intelligent in Bio-Inspired Perspective: A Summary

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    This paper summarizes the research performed in the field of swarm intelligent in recent years. The classification of swarm intelligence based on behavior is introduced. The principles of each behaviors, i.e. foraging, aggregating, gathering, preying, echolocation, growth, mating, clustering, climbing, brooding, herding, and jumping are described. 3 algorithms commonly used in swarm intelligent are discussed. At the end of summary, the applications of the SI algorithms are presented

    Bio-Inspired Robotics

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    Modern robotic technologies have enabled robots to operate in a variety of unstructured and dynamically-changing environments, in addition to traditional structured environments. Robots have, thus, become an important element in our everyday lives. One key approach to develop such intelligent and autonomous robots is to draw inspiration from biological systems. Biological structure, mechanisms, and underlying principles have the potential to provide new ideas to support the improvement of conventional robotic designs and control. Such biological principles usually originate from animal or even plant models, for robots, which can sense, think, walk, swim, crawl, jump or even fly. Thus, it is believed that these bio-inspired methods are becoming increasingly important in the face of complex applications. Bio-inspired robotics is leading to the study of innovative structures and computing with sensoryโ€“motor coordination and learning to achieve intelligence, flexibility, stability, and adaptation for emergent robotic applications, such as manipulation, learning, and control. This Special Issue invites original papers of innovative ideas and concepts, new discoveries and improvements, and novel applications and business models relevant to the selected topics of ``Bio-Inspired Robotics''. Bio-Inspired Robotics is a broad topic and an ongoing expanding field. This Special Issue collates 30 papers that address some of the important challenges and opportunities in this broad and expanding field

    Artificial intelligence in the design process

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    The book discusses how to include artificial intelligence (AI) systems in the early stages of the design process. Today designers need new tools capable of supporting them in dealing with the increasing projectโ€™s complexity and empowering their performances and capabilities. AI systems appear to be powerful means to enhance designersโ€™ creativity. This assumption was tested in a workshop where sixteen participants collaborated with three AI systems throughout the creative phases of research, sketching, and color selection. Results show that designers can access a broader level of variance and inspiration while reducing the risk of fossilization by triggering lateral thinking through AI-generated data. Therefore, AI could significantly impact the creative phases of the design process if applied consciously. Being AI systems intelligent agents, the book treats the Human-AI collaboration as a collaboration between human agents, proposing a set of guidelines helpful to achieving an efficient partnership with the machine
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