8,870 research outputs found

    Effective Viscous Damping Enables Morphological Computation in Legged Locomotion

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    Muscle models and animal observations suggest that physical damping is beneficial for stabilization. Still, only a few implementations of mechanical damping exist in compliant robotic legged locomotion. It remains unclear how physical damping can be exploited for locomotion tasks, while its advantages as sensor-free, adaptive force- and negative work-producing actuators are promising. In a simplified numerical leg model, we studied the energy dissipation from viscous and Coulomb damping during vertical drops with ground-level perturbations. A parallel spring-damper is engaged between touch-down and mid-stance, and its damper auto-disengages during mid-stance and takeoff. Our simulations indicate that an adjustable and viscous damper is desired. In hardware we explored effective viscous damping and adjustability and quantified the dissipated energy. We tested two mechanical, leg-mounted damping mechanisms; a commercial hydraulic damper, and a custom-made pneumatic damper. The pneumatic damper exploits a rolling diaphragm with an adjustable orifice, minimizing Coulomb damping effects while permitting adjustable resistance. Experimental results show that the leg-mounted, hydraulic damper exhibits the most effective viscous damping. Adjusting the orifice setting did not result in substantial changes of dissipated energy per drop, unlike adjusting damping parameters in the numerical model. Consequently, we also emphasize the importance of characterizing physical dampers during real legged impacts to evaluate their effectiveness for compliant legged locomotion

    Synchronization Strings: Explicit Constructions, Local Decoding, and Applications

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    This paper gives new results for synchronization strings, a powerful combinatorial object that allows to efficiently deal with insertions and deletions in various communication settings: \bullet We give a deterministic, linear time synchronization string construction, improving over an O(n5)O(n^5) time randomized construction. Independently of this work, a deterministic O(nlog2logn)O(n\log^2\log n) time construction was just put on arXiv by Cheng, Li, and Wu. We also give a deterministic linear time construction of an infinite synchronization string, which was not known to be computable before. Both constructions are highly explicit, i.e., the ithi^{th} symbol can be computed in O(logi)O(\log i) time. \bullet This paper also introduces a generalized notion we call long-distance synchronization strings that allow for local and very fast decoding. In particular, only O(log3n)O(\log^3 n) time and access to logarithmically many symbols is required to decode any index. We give several applications for these results: \bullet For any δ0\delta0 we provide an insdel correcting code with rate 1δϵ1-\delta-\epsilon which can correct any O(δ)O(\delta) fraction of insdel errors in O(nlog3n)O(n\log^3n) time. This near linear computational efficiency is surprising given that we do not even know how to compute the (edit) distance between the decoding input and output in sub-quadratic time. We show that such codes can not only efficiently recover from δ\delta fraction of insdel errors but, similar to [Schulman, Zuckerman; TransInf'99], also from any O(δ/logn)O(\delta/\log n) fraction of block transpositions and replications. \bullet We show that highly explicitness and local decoding allow for infinite channel simulations with exponentially smaller memory and decoding time requirements. These simulations can be used to give the first near linear time interactive coding scheme for insdel errors

    Rancang Bangun Sistem Distribusi Gas LPG 3 Kg Menggunakan RFID Pada E-KTP

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    Pengelolaan distribusi gas LPG 3 Kg pada masyarakat miskin tidak merata. Beberapa faktor penyebabnya yaitu harga gas LPG 3 Kg yang murah sehingga distribusi melebihi jatah yang disarankan. Hal tersebut mengakibatkan harga dan jumlah distribusi tidak seimbang terhadap distribusi perwilayah. Tujuan penelitian ini adalah merancang bangun sistem distribusi gas LPG 3 Kg menggunakan Radio Frequency Identification (RFID) pada E-KTP berbasis web untuk memudahkan dalam melakukan transaksi gas LPG 3 Kg dan mencegah terjadinya penimbunan gas LPG 3 Kg. Menggunakan metode penelitian studi kuantitatif yaitu studi experimental yang bertujuan untuk mengumpulkan informasi seputar permasalahan, penelitian ini juga menggunakan metode System Development Life Cycle (SDLC) model Waterfall, yaitu metode yang menggunakan teknik analisis, desain, pengodean, pengujian, dan pendukung. Hasil penelitian ini adalah suatu aplikasi untuk memanajemen penjualan gas LPG 3 Kg bersubsidi agar tidak terjadinya penimbunan disuatu pangkalan yang menyebabkan ketidak seimbangan terhadap distribusi

    Ultra-thin titanium nitride films for refractory spectral selectivity

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    We demonstrate a selectively emitting optical Fabry-P\'erot resonator based on a few-nm-thin continuous metallic titanium nitride film, separated by a dielectric spacer from an optically thick titanium nitride back-reflector, which exhibits excellent stability at 1070 K against chemical degradation, thin-film instabilities and melting point depression. The structure paves the way to the design and fabrication of refractory thermal emitters using the well-established processes known from the field of multilayer and rugate optical filters. We demonstrate that a few-nanometer thick films of titanium nitride can be stable under operation at temperatures exceeding 1070 K. This type of selective emitter provides a means towards near-infrared thermal emission that could potentially be tailored to the accuracy level known from rugate optical filters.Comment: 16 pages, 6 figure

    Jurassic World Remake: Bringing Ancient Fossils Back to Life via Zero-Shot Long Image-to-Image Translation

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    With a strong understanding of the target domain from natural language, we produce promising results in translating across large domain gaps and bringing skeletons back to life. In this work, we use text-guided latent diffusion models for zero-shot image-to-image translation (I2I) across large domain gaps (longI2I), where large amounts of new visual features and new geometry need to be generated to enter the target domain. Being able to perform translations across large domain gaps has a wide variety of real-world applications in criminology, astrology, environmental conservation, and paleontology. In this work, we introduce a new task Skull2Animal for translating between skulls and living animals. On this task, we find that unguided Generative Adversarial Networks (GANs) are not capable of translating across large domain gaps. Instead of these traditional I2I methods, we explore the use of guided diffusion and image editing models and provide a new benchmark model, Revive-2I, capable of performing zero-shot I2I via text-prompting latent diffusion models. We find that guidance is necessary for longI2I because, to bridge the large domain gap, prior knowledge about the target domain is needed. In addition, we find that prompting provides the best and most scalable information about the target domain as classifier-guided diffusion models require retraining for specific use cases and lack stronger constraints on the target domain because of the wide variety of images they are trained on.Comment: 9 pages, 10 figures, ACM Multimedia 202
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