Results 231 to 240 of about 204,202 (277)

Continual Learning for Multimodal Data Fusion of a Soft Gripper

Advanced Robotics Research, EarlyView.
Models trained on a single data modality often struggle to generalize when exposed to a different modality. This work introduces a continual learning algorithm capable of incrementally learning different data modalities by leveraging both class‐incremental and domain‐incremental learning scenarios in an artificial environment where labeled data is ...
Nilay Kushawaha, Egidio Falotico
wiley   +1 more source

Waveguide Photoactuators: Materials, Fabrication, and Applications

Advanced Robotics Research, EarlyView.
Waveguide photoactuators convert guided light into mechanical motion. Their tethered‐flexible design enables minimally invasive surgery and confined‐space robotics. This review aims to guide materials selection, device design, and system integration, accelerating the transition of waveguide photoactuators from laboratory prototypes to versatile ...
Minjie Xi, Hemin Pan, Yang Zong, Yongfeng Mei, Jizhai Cui   +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

A Soft Robotic Fish With a Dielectric Elastomer Actuator Body and Negative Stiffness Spine

Advanced Robotics Research, EarlyView.
This work introduces a bio‐mimetic soft robotic fish driven by fiber‐reinforced dielectric elastomer actuators integrated as its body. By prestretching this active skin against a flexible spine, a negative stiffness system is created, enabling large‐amplitude bending.
Markus Koenigsdorff, Simon Holzer, Stefania Konstantinidi, Yoan Civet, Yves Perriard   +4 more
wiley   +1 more source

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Pattern Discovery in Multilayer Networks

IEEE/ACM Transactions on Computational Biology and Bioinformatics, 2022
In bioinformatics, complex cellular modeling and behavior simulation to identify significant molecular interactions is considered a relevant problem. Traditional methods model such complex systems using single and binary network. However, this model is inadequate to represent biological networks as different sets of interactions can simultaneously take
Yuanfang Ren, Aisharjya Sarkar, Pierangelo Veltri, Ahmet Ay, Alin Dobra, Tamer Kahveci   +5 more
openaire   +3 more sources

Multilayer Networks

2018
The chapter “Multilayer Networks” introduces the topic of interconnected multilayer networks, analyzing them from a few fronts: types of multilayer networks, their mathematical description, the dynamics of random walks, and the centrality (versatility) of nodes.
Gomez S., De Domenico M., Omodei E., Albert S. -R., Arenas A.   +4 more
openaire   +3 more sources

Resilience in multilayer networks

IEEE Communications Magazine, 1999
The integration of different technologies such as ATM, SDH, and WDM in multilayer transport networks raises many questions regarding the coordination of the individual network layers. Especially in the area of network survivability, much can be gained by a better alignment of the healing actions taken by different network layers in case of outages ...
Piet Demeester, Michael Gryseels, Achim Autenrieth, Carlo Brianza, Laura Castagna, Giulio D. Signorelli, Roberto Clemenfe, Mauro Ravera, Andrzej Jajszczyk, Dariusz Janukowicz, Kristof Van Doorselaere, Yohnosuke Harada   +11 more
openaire   +1 more source

Neural Blockmodeling for Multilayer Networks

2021 International Joint Conference on Neural Networks (IJCNN), 2021
Networks have a rich history of capturing interactions and are widely used in fields ranging from medicine to sociology to computer science. A network where links between nodes may exist on different relations - called a multilayer network - is a flexible and increasingly common type of network since it allows for describing more complex interactions ...
Marcin Pietrasik, Marek Z. Reformat
openaire   +1 more source