Results 91 to 100 of about 38,084 (215)

Interactive Prompt‐Guided Robotic Grasping for Arbitrary Objects Based on Promptable Segment Anything Model and Force‐Closure Analysis

Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.
A laser pointer‐guided robotic grasping method for arbitrary objects based on promptable segment anything model and force‐closure analysis is presented. Grasp generation methods based on force‐closure analysis can calculate the optimal grasps for objects through their appearances. However, the limited visual perception ability makes robots difficult to
Yan Liu, Yaxin Liu, Ruiqing Han, Kai Zheng, Yufeng Yao, Ming Zhong   +5 more
wiley   +1 more source

Robust Reinforcement Learning Control Framework for a Quadrotor Unmanned Aerial Vehicle Using Critic Neural Network

Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.
Quadrotor unmanned aerial vehicle control is critical to maintain flight safety and efficiency, especially when facing external disturbances and model uncertainties. This article presents a robust reinforcement learning control scheme to deal with these challenges.
Yu Cai, Yefeng Yang, Tao Huang, Boyang Li   +3 more
wiley   +1 more source

Predicting Performance of Hall Effect Ion Source Using Machine Learning

Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.
This study introduces HallNN, a machine learning tool for predicting Hall effect ion source performance using a neural network ensemble trained on data generated from numerical simulations. HallNN provides faster and more accurate predictions than numerical methods and traditional scaling laws, making it valuable for designing and optimizing Hall ...
Jaehong Park, Guentae Doh, Dongho Lee, Youngho Kim, Changmin Shin, Su‐Jin Shin, Young‐Chul Ghim, Sanghoo Park, Wonho Choe   +8 more
wiley   +1 more source

A physics-informed graph neural network conserving linear and angular momentum for dynamical systems. [PDF]

Nat Commun
Sharma V, Fink O.
europepmc   +1 more source

Crater Observing Bioinspired Rolling Articulator (COBRA)

Advanced Intelligent Systems, EarlyView.
Crater Observing Bio‐inspired Rolling Articulator (COBRA) is a modular, snake‐inspired robot that addresses the mobility challenges of extraterrestrial exploration sites such as Shackleton Crater. Incorporating snake‐like gaits and tumbling locomotion, COBRA navigates both uneven surfaces and steep crater walls.
Adarsh Salagame, Henry Noyes, Eric Sihite, Arash Kalantari, Alireza Ramezani   +4 more
wiley   +1 more source

Cutting soft materials: how material differences shape the response. [PDF]

NPJ Comput Mater
Moreno-Mateos MA, Steinmann P.
europepmc   +1 more source

Effective Material Stiffness in Curved Actuators

Advanced Intelligent Systems, EarlyView.
A new actuator effective material stiffness measurement method is created. It produces a new metric called shape actuation modulus with the potential to help design actuators. This method shows that the smaller the curvature of hinge‐shaped actuators, the stiffer they are.
Charles de Kergariou, David Correa, Adam W. Perriman, Fabrizio Scarpa   +3 more
wiley   +1 more source

Towards an innovative modular cutter of leeks for improving retained stalk quality and prolonging tool life. [PDF]

Sci Rep
Xie XY, Zou XR, Zhu L, Li YC, Wu XR, Wang HR, He J, Tan YJ, Xiao MH.   +8 more
europepmc   +1 more source

Poly(vinylidene Fluoride)‐Based Ferroelectric Polymers for Electromechanical Transduction: A Systematic Review of Materials and Actuators

Advanced Intelligent Systems, EarlyView.
Poly(vinylidene fluoride) (PVDF)‐based ferroelectric materials exhibit high strains, energy densities and coupling efficiencies, appealing for diverse applications requiring smart material actuators. This work reviews electromechanical transduction in PVDF‐based polymers and their modifications, implementation in actuators, and functional devices ...
Giulio Gallucci, Andres Hunt
wiley   +1 more source

Joint simulation and experimental verification of electromechanical-hydraulic of hydraulic excavator working device. [PDF]

Sci Rep
Xin M, Ren Z, Yu Y, Tian Y, Zhang H, Ren K, Zhang Y.   +6 more
europepmc   +1 more source