Results 101 to 110 of about 876,280 (281)
Stochastic Synchronization of Neutral-Type Neural Networks with Multidelays Based on M-Matrix
The problem of stochastic synchronization of neutral-type neural networks with multidelays based on M-matrix is researched. Firstly, we designed a control law of stochastic synchronization of the neural-type and multiple time-delays neural network ...
Wuneng Zhou +3 more
doaj +1 more source
This work presents an electrically controllable approach to spin–valley polarization in monolayer WS2 by integrating it with a dual‐mode liquid crystal laser. Applying an external field triggers phase transitions that switch the laser emission between helicity‐defined band‐edge lasing and unpolarized random lasing.
Yu‐Chuan Tsao +3 more
wiley +1 more source
Wavelength‐Multiplexed 2D Beam Steering via a Passive Diffractive Network
Illustration of a wavelength‐multiplexed diffractive beam steering system, which is composed of K cascaded diffractive layers, each containing phase‐modulating elements that are jointly optimized using deep learning–based optimization. When illuminated with a set of wavelengths {λ1,λ2,…,λNw}$\{ {{{\lambda }_1},{{\lambda }_2},\ldots ,{{\lambda }_{{{N}_w}
Che‐Yung Shen +5 more
wiley +1 more source
Stochastic Entanglement of Deterministic Origami Tentacles For Robust Robotic Grasping. [PDF]
This study introduces an origami tentacle gripper to robustly grasp objects‐in air, underwater, and even in orbital space‐by exploiting a synergy between local, deterministic deformation programming and global, stochastic entanglements. A single origami tentacle can be designed to coil with a simple tendon pull.
Boron A +4 more
europepmc +2 more sources
Information Transmission Strategies for Self‐Organized Robotic Aggregation
In this review, we discuss how information transmission influences the neighbor‐based self‐organized aggregation of swarm robots. We focus specifically on local interactions regarding information transfer and categorize previous studies based on the functions of the information exchanged.
Shu Leng +5 more
wiley +1 more source
Robots can learn manipulation tasks from human demonstrations. This work proposes a versatile method to identify the physical interactions that occur in a demonstration, such as sequences of different contacts and interactions with mechanical constraints.
Alex Harm Gert‐Jan Overbeek +3 more
wiley +1 more source
The increasing penetration of renewable energy sources introduces significant variability, low-inertia behaviour, and operational uncertainty into modern power systems, resulting in frequent frequency deviations and degraded dynamic stability ...
Stephen Gumede +2 more
doaj +1 more source
Echinoderm‐Inspired Autonomy for Soft‐Legged Robots
Inspired by echinoderms, a modular soft robot achieves autonomous phototaxis without a central controller or explicit communication. Each limb independently adapts its actuation timing through local sensing and short‐term memory. Coordination emerges purely from physical interactions, demonstrating resilience to changes in morphology, environment, and ...
Harmannus A. H. Schomaker +2 more
wiley +1 more source
There is a consensus that both deterministic and stochastic processes shape the composition of biological communities. However, it is difficult to quantitatively disentangle their relative importance, which is fundamental for conserving and managing ...
Lu Wang +5 more
doaj +1 more source
Automated poultry processing lines still rely on humans to lift slippery, easily bruised carcasses onto a shackle conveyor. Deformability, anatomical variance, and hygiene rules make conventional suction and scripted motions unreliable. We present ChicGrasp, an end‐to‐end hardware‐software co‐designed imitation learning framework, to offer a ...
Amirreza Davar +8 more
wiley +1 more source

