Results 181 to 190 of about 110,849 (310)

Graph Neural Networks With Lifting-Based Adaptive Graph Wavelets

Spectral-based graph neural networks (SGNNs) have been attracting increasing attention in graph representation learning. However, existing SGNNs are limited in implementing graph filters with rigid transforms and cannot adapt to signals residing on ...
Zou, Junni, Xu, Mingxing, Xiong, Hongkai, Dai, Wenrui, Frossard, Pascal, Li, Chenglin   +5 more
core   +1 more source

Asymmetry in Skipping Enhances Viability Against Control Input Noise

Advanced Robotics Research, EarlyView.
Quadruped animals use asymmetric galloping gaits at high speeds, yet the functional role of this asymmetry remains unclear. This study shows that left–right asymmetry in touchdown angles enhances robustness to control noise. Using a simple two‐legged locomotion model and viability theory, it demonstrates that asymmetric skipping substantially enlarges ...
Yuichi Ambe, Alvin So, Shinya Aoi
wiley   +1 more source

Graph Structure Reshaping Against Adversarial Attacks on Graph Neural Networks

Graph Neural Networks (GNNs) have achieved impressive performance in many tasks on graph data. Recent studies show that they are vulnerable to adversarial attacks.
Wang, H, Zhou, C, Wang, J, Li, Z, Wu, J, Yu, PS, Chen, X, Pan, S   +7 more
core   +1 more source

A Superlubricated Magnetically Steerable Microcatheter with Integrated Optical and Fluidic Channels

Advanced Robotics Research, EarlyView.
A magnetically steerable microcatheter with integrated optical and fluidic channels is developed for multifunctional navigation in tortuous anatomical environments. A surface‐grafted hydrogel coating enables low‐friction actuation. The device demonstrates stable light and fluid delivery during magnetic manipulation, offering a compact platform for ...
Yuntian Du, Ruokun He, Luqi Li, Hesheng Wang, Zhuo‐Chen Ma, Bing Han   +5 more
wiley   +1 more source

Transformers are Graph Neural Networks

CoRR
This paper is a technical version of an article in The Gradient at https://thegradient.pub/transformers-are-graph-neural-networks/
openaire   +2 more sources

Tumbling Magnetic Microrobots for Targeted In Vivo Drug Delivery in the GI Tract

Advanced Robotics Research, EarlyView.
We introduce a microrobot design and integrated system for on‐demand targeted drug release in the gastrointestinal tract. The microrobot has an embedded magnet for actuation with external magnetic fields and is visualized in real time using ultrasound. It has two drug release ports sealed with a thermally sensitive wax. Local heating of the wax using a
Aaron C. Davis, Luis Carlos Sanjuan Acosta, Shubh P. Mehta, Baiyan Qi, Yang Yang, Luis Solorio, Craig J. Goergen, David J. Cappelleri   +7 more
wiley   +1 more source

Auditory–Tactile Congruence for Synthesis of Adaptive Pain Expressions in RoboPatients

Advanced Robotics Research, EarlyView.
In this work, we explore auditory–tactile congruence for synthesizing adaptive vocal pain expressions in robopatients. Using a robopatient platform that integrates vocal pain sounds with palpation forces, we conducted 7680 trials across 20 participants.
Saitarun Nadipineni, Chapa Sirithunge, Yue Xie, Fumiya Iida, Thilina Dulantha Lalitharatne   +4 more
wiley   +1 more source

Backpropagation Through Soft Body: Investigating Information Processing in Brain–Body Coupling Systems

Advanced Robotics Research, EarlyView.
This study explores how information processing is distributed between brains and bodies through a codesign approach. Using the “backpropagation through soft body” framework, brain–body coupling agents are developed and analyzed across several tasks in which output is generated through the agents’ physical dynamics.
Hiroki Tomioka, Katsuma Inoue, Yasuo Kuniyoshi, Kohei Nakajima   +3 more
wiley   +1 more source

StabLyzeGraph: High-throughput screening of combinatorial mutations using graph neural networks. [PDF]

Protein Sci
Waqas M, Natale B, Roggia M, Saha PP, Mileni M, Cosconati S.   +5 more
europepmc   +1 more source

Universal Gripper for Industrial Manipulation With Enhanced Rigid Mechanics and Self‐Adaptable Fingers

Advanced Robotics Research, EarlyView.
An enhanced universal gripper combining rigid mechanics with self‐adaptable fingers is presented for industrial automation. The novel six‐bar linkage with integrated compliant pad eliminates mechanical interference while enabling passive shape adaptation.
Muhammad Usman Khalid, Nirmal Kumar Ravikumar, Mattia Frascio, Sumanth Nagalakunta, Alessandro Seitone, Benoît Lévesque, Alessandro Zanella, Matteo Zoppi   +7 more
wiley   +1 more source