Design, modeling, and experimental study of variable stiffness pneumatic bio-inspired soft actuators [0.03%]
用于生物启发型软执行器的可变刚度气动设计、建模与实验研究
Wenchuan Zhao,Shijie Wu,Kunlin Zhang et al.
Wenchuan Zhao et al.
Inspired by the actuation mechanism of octopus tentacles, this study proposes a pneumatic bio-inspired soft actuator with variable stiffness to improve load-bearing capability and manipulation performance while enabling flexible stiffness c...
How Fish Body Stiffness Distribution Affects Swimming Performance:A Theoretical Perspective [0.03%]
鱼体刚度分布对游泳性能的影响:理论视角
Xiaobo Zhang,Zhongcai Pei,Zhiyong Tang
Xiaobo Zhang
Stiffness exerts a significant influence on swimming locomotion of fish. Biological experiments have demonstrated that the stiffness of different body segments in fish is inherently heterogeneous. Although the stiffness variation patterns f...
Fire Ant Rafts Offer Principles and Rules for Synthetic Programmable Morphing Matter [0.03%]
基于火蚁浮桥的可编程变形材料合成原则与规则
Franck Vernerey,Brian Cox
Franck Vernerey
We examine fire-ant rafts as a model system of biological active matter composed of cohesive agents that interact through simple local rules to produce emergent collective dynamics. A hallmark of these rafts is treadmilling, a process enabl...
Design and Control of a Bioinspired Underwater Robot with Hydrogel-Based Flexible Pectoral Fins [0.03%]
一种灵感来自生物的水下机器人及其基于水凝胶的柔性胸鳍的设计与控制
Chao Wang,Zonggang Li,Yixian Wang et al.
Chao Wang et al.
Bioinspired flexible propulsion offers a promising approach for improving the efficiency and maneuverability of underwater robots. Inspired by the undulatory locomotion of median and/or paired fin (MPF) organisms, this article presents a fl...
Mechanisms of the Impact of Cross-Sectional Variations in the Primary Flight Feather Shaft on Mechanical Properties [0.03%]
初级飞羽杆截面变化对其力学性能影响的机制研究
Huan Wang,Ming Ju,Yuliang Huang et al.
Huan Wang et al.
Primary flight feather shafts, a critical structural component of avian flight, exhibit excellent mechanical properties. The cross-sectional and medullary foam internal cavity structures of the feather shaft exhibit a gradual variation alon...
Bioinspired Additive Manufacturing Material Optimization for Increased Stiffness and Improved Strain Sensing in Robotic Limbs [0.03%]
一种用于增强机器人假肢刚度和改进应变感应的仿生增材制造材料优化方法
Gesa F Dinges,Isabella M Kudyba,Foster O Holmquist et al.
Gesa F Dinges et al.
Robots traversing uneven terrain may require precise calculation of limb kinematics (e.g., foot position from joint angles and segment dimensions) and sensing of force for adaptive walking control. To facilitate these calculations, robots o...
Pre-cracked sutures fractured by amplified forces: mechanism of efficient eclosion in arboreal butterflies [0.03%]
预裂缝遇强力放大而断裂：树栖蝴蝶高效羽化机制
Bentao Wu,Xinyu Liu,Ti Zeng et al.
Bentao Wu et al.
Natural strategies for structural transition during metamorphosis display remarkable efficiency and mechanical sophistication. In butterflies, the transition from pupa to adult involves not only dramatic morphological transformation but als...
Generating coordinated bounding locomotion for a small-scale quadrupedal robot with thoracic-pelvic articulation via reinforcement learning [0.03%]
基于强化学习的具有胸腰关节的小型四足机器人协调步态生成算法
Ruochao Wang,Rongjie Du,Weitao Zhang et al.
Ruochao Wang et al.
Small-scale cursorial quadrupedal animals coordinate their spines and limbs for rapid and agile locomotion. Although small-scale quadruped robots have demonstrated impressive mobility in various unstructured environments, they rarely fully ...
DEEP DIVE INTO MODEL-FREE REINFORCEMENT LEARNING FOR UNDERWATER LOCOMOTION: THEORY AND PRACTICE [0.03%]
无模型强化学习在水下推进中的理论与实践探究
Yusheng Jiao,Feng Ling,Sina Heydari et al.
Yusheng Jiao et al.
Aquatic animals and underwater robots operate in a complex physical world and must coordinate their bodies to
achieve behavioral objectives such as navigation and predation. With recent developments in deep reinforcement learning (RL),&...
A biologically inspired neural network for optic flow-based reactive navigation with dual depth encoding [0.03%]
一种基于生物启发的神经网络用于双深度编码的光流反应式导航
Zipei Li,Lining Yin,Lanyun Cui et al.
Zipei Li et al.
Animals and humans rely on optic flow to navigate cluttered and unknown environments. While most previous studies have focused on how organisms achieve self-motion perception through optic flow information, biological neural networks for na...