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Shape transformation by folding showcases intricate geometrical change over dimension, that has long provided the embodied intelligence of autonomous systems capable of adapting to challenging environments and displaying functional versatilities. Hinge-face material assembly interfaced by shape-morphing mechanisms produced the associated means. However, the fixed hinge structure limits the accessible modes of folding configurations despite the existing capability of rectification in plant. Here we introduce a programming strategy of the two-dimensional fold of a robotic sheet into an unbounded set of hinge configurations in the field post-deployment, which is referred to as being field-programmable, driven by a densely distributed electro-thermo-responsive system design. An interconnected set of metallic resistors, incorporated into the thermo-responsive polymer film, performs the dual functionalities of a heater and thermoreceptor, selectively recruited to configure folds through electronic modulation of its electrical power distribution. Electronic layouts, computational algorithms, and closed-loop control schemes present an intuitive means of blending user intent in situ, yielding a servoed, swift, and robust fold-programming process. The system is intrinsically driven by embeddable electronics to enable autonomous system engineering, as potentiated by multi-purpose applications in grasping and locomotion.
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http://dx.doi.org/10.1038/s41467-025-61838-3 | DOI Listing |
Nat Commun
August 2025
Department of Mechanical Engineering, Korea Advanced Institute of Science and Technology, Daejeon, Republic of Korea.
Shape transformation by folding showcases intricate geometrical change over dimension, that has long provided the embodied intelligence of autonomous systems capable of adapting to challenging environments and displaying functional versatilities. Hinge-face material assembly interfaced by shape-morphing mechanisms produced the associated means. However, the fixed hinge structure limits the accessible modes of folding configurations despite the existing capability of rectification in plant.
View Article and Find Full Text PDFIEEE Open J Eng Med Biol
February 2025
Department of Informatics, Bioengineering, Robotics, System Engineering (DIBRIS)University of Genova 16145 Genova Italy.
: This study addresses the inherent difficulties in the creation of neuroengineering devices for real-time neural signal processing, a task typically characterized by intricate and technically demanding processes. Beneath the substantial hardware advancements in neurotechnology, there is often rather complex low-level code that poses challenges in terms of development, documentation, and long-term maintenance. : We adopted an alternative strategy centered on Model-Based Design (MBD) to simplify the creation of neuroengineering systems and reduce the entry barriers.
View Article and Find Full Text PDFSensors (Basel)
May 2025
Key Laboratory of Ultra-Fast Photoelectric Diagnostics Technology, Xi'an Institute of Optics and Precision Mechanics of CAS, Xi'an 710119, China.
Time-to-Digital Converters (TDCs) implemented on Field-Programmable Gate Arrays (FPGAs) have become increasingly prevalent across a wide range of scientific and engineering disciplines, such as high-energy physics experiments, autonomous driving, robotic navigation, and medical imaging, owing to their cost-effectiveness, high precision, and rapid development cycles. This article presents a 3-tap heterogeneous tapped delay-line (TDL) architecture for a FPGA-based TDC that can be employed for multi-channel time-of-flight measurement. The TDC desgin is based on the open-source jTDC, featuring single-cycle dead time and multi-channel expansion capabilities, with an original precision of 30 ps.
View Article and Find Full Text PDFPhys Eng Sci Med
June 2025
School of Computer Science and Artificial Intelligence, Wuhan Textile University, Wuhan, P.R. China.
Thyroid cancer is the most prevalent malignant tumour in the endocrine system, with its incidence steadily rising in recent years. Current central processing units (CPUs) and graphics processing units (GPUs) face significant challenges in terms of processing speed, energy consumption, cost, and scalability in the identification of thyroid nodules, making them inadequate for the demands of future green, efficient, and accessible healthcare. To overcome these limitations, this study proposes an efficient quantized inference method using a field-programmable gate array (FPGA).
View Article and Find Full Text PDFSci Rep
April 2025
School of Computing and Data Science, Xiamen University Malaysia, 43900, Sepang, Selangor, Malaysia.
The performance of any elliptic curve cryptography hardware accelerator significantly relies on the efficiency of the underlying point multiplication (PM) architecture. This article presents a hardware implementation of field-programmable gate array (FPGA) based modular arithmetic, group operation, and point multiplication unit on the twisted Edwards curve (Edwards25519) over the 256-bit prime field. An original hardware architecture of a unified point operation module in projective coordinates that executes point addition and point doubling within a single module has been developed, taking only 646 clock cycles and ensuring a better security level than conventional approaches.
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