Results 71 to 80 of about 58,799 (221)

Phase‐Change Alloys Enable Localized Reversible Stiffening and Actuation in Steerable Eversion Tip‐Growing Robots

Advanced Intelligent Systems, EarlyView.
This work presents a tip‐growing eversion robot that uses phase‐changing alloys for reversible stiffening and localized actuation, achieving 43× stiffness modulation, 15× force amplification, and segmental steering. The system enables precise navigation and force delivery in constrained, tortuous pathways.
Shamsa Al Harthy, S.M.Hadi Sadati, Shannon C. Stockdale, Radhouene Neji, Christos Bergeles   +4 more
wiley   +1 more source

Contact Force Estimation of Continuum Robots without Embedded Sensors: A Review

Advanced Intelligent Systems, EarlyView.
This review surveys methods for estimating contact forces in continuum robots without embedded sensors. It explains why contact force matters, classifies force patterns, and groups existing methods into three approaches based on actuation, deformation, and environment information.
An Hu, Yu Sun
wiley   +1 more source

Adaptive Autonomy in Microrobot Motion Control via Deep Reinforcement Learning and Path Planning Synergy

Advanced Intelligent Systems, EarlyView.
This study introduces a data‐driven framework that combines deep reinforcement learning with classical path planning to achieve adaptive microrobot navigation. By training a surrogate neural network to emulate microrobot dynamics, the approach improves learning efficiency, reduces training time, and enables robust real‐time obstacle avoidance in ...
Amar Salehi, Bairong Zhu, Haoyu Liu, Tingting Yu   +3 more
wiley   +1 more source

GraphNeuralCloth: A Graph‐Neural‐Network‐Based Framework for Non‐Skinning Cloth Simulation

Advanced Intelligent Systems, EarlyView.
This study presents a cloth motion capture system and a point‐cloud‐to‐mesh processing method to support the prediction of real‐world fabric deformation. GraphNeuralCloth, a graph neural‐network (GNN)‐based framework is also proposed to estimate the cloth morphology change in real time.
Yingqi Li, Xiaomei Wang, Xiaoqi Song, Chenchen Fan, Bohao Zhu, Jianan Peng, Qixin Liang, James Lam, Kam‐Yim Sze, Ka‐Wai Kwok   +9 more
wiley   +1 more source

Slip‐Adaptive Neural Control of Gecko‐Inspired Adhesive Robots

Advanced Intelligent Systems, EarlyView.
This study introduces a neural adhesion controller to improve the stability of gecko‐inspired climbing robots. By integrating an echo state network and a multilayer perceptron, the system utilizes joint torque feedback to accurately estimate adhesion in both normal and shear directions and predict slips. This enables effective recovery from slip events,
Donghao Shao, Jian Chen, Guangyuan Zang, Yang Li   +3 more
wiley   +1 more source

TacEva: A Performance Evaluation Framework for Vision‐Based Tactile Sensors

Advanced Intelligent Systems, EarlyView.
This work introduces TacEva, a unified framework for evaluating vision‐based tactile sensors. It standardizes intrinsic, performance, and robustness metrics through shared experimental procedures and links them to task‐level requirements in robotic manipulation.
Qingzheng Cong, Steven Oh, Wen Fan, Shan Luo, Kaspar Althoefer, Dandan Zhang   +5 more
wiley   +1 more source

Language‐Guided Robot Grasping Based on Basic Geometric Shape Fitting

Advanced Intelligent Systems, EarlyView.
This article presents a language‐guided, model‐free grasping framework that integrates multimodal perception with primitive‐based geometric fitting. By explicitly modeling object geometry from RGB‐D data, the method enables semantically controllable grasp pose generation and achieves robust performance in both structured and cluttered real‐world ...
Qun Niu, Chuanlin Zhang, Tianyu Zhang, Jieliang Zhao, Tie Fu, Xuemei Chen   +5 more
wiley   +1 more source

Deep Learning Methods for Assessing Time‐Variant Nonlinear Signatures in Clutter Echoes

Advanced Intelligent Systems, EarlyView.
Motion classification from biosonar echoes in clutter presents a fundamental challenge: extracting structured information from stochastic interference. Deep learning successfully discriminates object speed and direction from bat‐inspired signals, achieving 97% accuracy with frequency‐modulated calls but only 48% with constant‐frequency tones. This work
Ibrahim Eshera, Gaurav Duggal, Rolf Müller   +2 more
wiley   +1 more source

Behavior Decoding Delineates Seizure Microfeatures and Associated Sudden Death Risks in Mouse Models of Epilepsy

Annals of Neurology, EarlyView.
Objective Behavior and motor manifestations are distinctive yet often overlooked features of epileptic seizures. Seizures can result in transient disruptions in motor control, often organized into specific behavioral sequences that can inform seizure types, onset zones, and outcomes.
Yuyan Shen, Jaden Thomas, Xianhui Chen, Jaden Zelidon, Mariam Najeeb, Abigayle Hahn, Ping Zhang, Aaron Sathyanesan, Bin Gu   +8 more
wiley   +1 more source

Functional models from limited data: A parametric and multimodal approach to anatomy and 3D kinematics of feeding in basking sharks (Cetorhinus maximus)

The Anatomical Record, EarlyView.
Abstract Basking sharks, Cetorhinus maximus (Gunnerus, Brugden [Squalus maximus], Det Kongelige Norske Videnskabers Selskabs Skrifter, 1765, vol. 3, pp. 33–49), feed by gaping their mouths and gill slits, greatly reorienting their cranial skeletons to filter food from water.
Tairan Li, Mike Schindler, Martha Paskin, Venkata A. Surapaneni, Elliott Scott, Sabine Hauert, Nicholas Payne, David E. Cade, Jeremy A. Goldbogen, Frederik H. Mollen, Daniel Baum, Sean Hanna, Mason N. Dean   +12 more
wiley   +1 more source