Results 61 to 70 of about 37,752 (264)

3D‐Printing Aided Rapid Prototyping of Pretensioned Tensegrity Structures for Robotic Applications

Advanced Robotics Research, EarlyView.
Printing, injection molding, and assembly (PMA) is a method for rapid prototyping mesoscale, topologically complex, and tensioned tensegrity structures. In combination with PMA method, two mold design strategies: modular mold and compact channel layout, enable efficiency and scalability for tensegrity fabrication.
Yi Sun, Jan Petrš, Omar Aloui, Dario Floreano   +3 more
wiley   +1 more source

From Lab to Landscape: Environmental Biohybrid Robotics for Ecological Futures

Advanced Robotics Research, EarlyView.
This Perspective explores environmental biohybrid robotics, integrating living tissues, microorganisms, and insects for operation in real‐world ecosystems. It traces the leap from laboratory experiments to forests, wetlands, and urban environments and discusses key challenges, development pathways, and opportunities for ecological monitoring and ...
Miriam Filippi
wiley   +1 more source

A Lightweight Terrain‐Constraint Model for Wind Spatial Downscaling

Journal of Geophysical Research: Machine Learning and Computation
High‐resolution wind fields has always been the goal of refined meteorological forecasting. Using advanced deep learning algorithms for wind downscaling is an effective approach to achieve this goal. However, the lack of physical process understanding in
Anboyu Guo, Qiyang Liu, Jiuke Wang, Yuanyong Gao, Lixin Wei, Xiaojiang Song, Chi Zhang, Kai Liu, Shuping Ma, Jiu Jiang   +9 more
doaj   +1 more source

Light‐Driven Quadrupedal Walking Biohybrid Robot With Antagonistic Muscle‐Rings and Inclined Joints

Advanced Robotics Research, EarlyView.
This work presents a light‐driven quadrupedal walking biohybrid robot powered by antagonistic muscle‐rings that achieve alternating walking gait. Optical training improved reproducibility of cultured muscle tissues, while caffeine treatment enhanced contractile force.
Shotaro Saito, Byeongwook Jo, Tomohiro Morita, Shota Noda, Minghao Nie, Shoji Takeuchi   +5 more
wiley   +1 more source

Systematic Exploration of 3D Concrete Printing Parameters for Conformal Printing on Sloped Surfaces

Advanced Robotics Research, EarlyView.
A conformal slicing algorithm is developed for robotic 3D concrete printing (3DCP) on sloped surfaces as a first step toward printing slab‐on‐grade foundations on uneven terrain. Systematic experiments quantify the effects of nozzle speed, extrusion rate, and toolpath direction on filament dimension and stability.
Paniz Farrokhsiar, Benay Gursoy, Jose Pinto Duarte   +2 more
wiley   +1 more source

Strategic Design of Soft Actuators in Translational Medical Robotics for Human‐Centered Healthcare

Advanced Robotics Research, EarlyView.
Soft robotics enables biocompatible, compliant medical devices, but clinical translation requires design‐driven engineering beyond materials. This perspective reviews implantable, surgical, and wearable systems by actuation mechanism, highlighting how optimized architectures and integration improve mechanical interfacing, adaptability, and durability ...
Ho Jun Jin, Jimin Kim, Inho Kim, Bong Hoon Kim   +3 more
wiley   +1 more source

FiN‐Kiri: Fabric‐Based Inflatable Kirigami Actuator for Multimodal Soft Robots

Advanced Robotics Research, EarlyView.
This study introduces a type of inflatable fabric‐based kirigami actuator capable of performing bending motion. The actuator is utilized as soft grippers, a crawling robot and a swimming robot. The crawling robot demonstrated extraordinary motion capabilities, such as moving forward, turning and navigating a narrow tunnel.
Yang Yu, Yupei Zhang, Yanqi Yin, Yehui Wu, Jinyao Zhang, Ruiyu Bai, Jiaqiang Yao, Kewei Su, Chenyi Yu, Zhicheng Tian, Naipeng Li, Zhuang Zhang, Bo Li   +12 more
wiley   +1 more source

Smart Nanotechnologies for Multimodal Neuromodulation and Brain Interfacing

Advanced Science, EarlyView.
Recent advances in smart nanotechnologies are expanding the toolbox for brain interfacing, from wireless neuromodulation and high‐resolution sensing to targeted delivery within the central nervous system. By combining responsive nanomaterials with bioinspired design, these platforms enable multimodal interactions with neurons and glia, while also ...
Tommaso Curiale, Marie Celine Lefevre, Alessio Carmignani, Maria Cristina Ceccarelli, Matteo Battaglini, Attilio Marino, Gianni Ciofani   +6 more
wiley   +1 more source

MGDP: Mastering a Generalized Depth Perception Model for Quadruped Locomotion

Advanced Science, EarlyView.
ABSTRACT Perception‐based Deep Reinforcement Learning (DRL) controllers demonstrate impressive performance on challenging terrains. However, existing controllers still face core limitations, struggling to achieve both terrain generality and platform transferability, and are constrained by high computational overhead and sensitivity to sensor noise.
Yinzhao Dong, Ji Ma, Yidan Lu, Jiahui Zhang, Wanyue Li, Yeke Chen, Teng Zhang, Xuechao Chen, Zhangguo Yu, Peng Lu   +9 more
wiley   +1 more source

Complex terrains and wind power: enhancing forecasting accuracy through CNNs and DeepSHAP analysis

Frontiers in Energy Research
Accurate prediction of wind power generation in regions characterised by complex terrain is a critical gap in renewable energy research. To address this challenge, the present study articulates a novel methodological framework using Convolutional Neural ...
Theodoros Konstantinou, Nikos Hatziargyriou, Nikos Hatziargyriou   +2 more
doaj   +1 more source