Results 61 to 70 of about 227,956 (276)

Stable Imitation of Multigait and Bipedal Motions for Quadrupedal Robots Over Uneven Terrains

open access: yesAdvanced Robotics Research, EarlyView.
How are quadrupedal robots empowered to execute complex navigation tasks, including multigait and bipedal motions? Challenges in stability and real‐world adaptation persist, especially with uneven terrains and disturbances. This article presents an imitation learning framework that enhances adaptability and robustness by incorporating long short‐term ...
Erdong Xiao   +3 more
wiley   +1 more source

Information Transmission Strategies for Self‐Organized Robotic Aggregation

open access: yesAdvanced Robotics Research, EarlyView.
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

Recent Advances in Robotic Systems for Robot‐Assisted Transoral Surgical Procedures: A Systematic Review

open access: yesAdvanced Robotics Research, EarlyView.
This review systematically examines robotic systems for robot‐assisted transoral surgical procedures, classifying them based on transoral access depth, and evaluates their fundamental design principles, mechanical innovations, algorithmic advancements, and clinical implementation status.
Yuhao Shi   +5 more
wiley   +1 more source

A survey of practical adversarial example attacks

open access: yesCybersecurity, 2018
Adversarial examples revealed the weakness of machine learning techniques in terms of robustness, which moreover inspired adversaries to make use of the weakness to attack systems employing machine learning.
Lu Sun, Mingtian Tan, Zhe Zhou
doaj   +1 more source

Towards Imperceptible and Robust Adversarial Example Attacks against Neural Networks

open access: yes, 2018
Machine learning systems based on deep neural networks, being able to produce state-of-the-art results on various perception tasks, have gained mainstream adoption in many applications.
Liu, Yannan   +3 more
core   +1 more source

Continual Learning for Multimodal Data Fusion of a Soft Gripper

open access: yesAdvanced 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

Toward Optimal Adversarial Policies in the Multiplicative Learning System with a Malicious Expert [PDF]

open access: green, 2020
S. Rasoul Etesami   +3 more
openalex   +1 more source

A Holographic Sensor‐Integrated Deep Learning Framework for Noninvasive Assessment of Stored Red Blood Cell Quality

open access: yesAdvanced Sensor Research, EarlyView.
A holographic sensing‐integrated deep learning platform enables real‐time, label‐free assessment of red blood cell (RBC) quality during storage. By combining diffusion model‐based data augmentation and self‐supervised pretraining, the framework achieves high segmentation accuracy with minimal data.
Seonghwan Park   +3 more
wiley   +1 more source

Robust Physics‐Informed Neural Network Approach for Estimating Heterogeneous Elastic Properties from Noisy Displacement Data

open access: yesAdvanced Science, EarlyView.
Heterogeneous distributions of elasticity parameters are learned from noisy displacement data using the Inverse Elasticity Physics‐Informed Neural Network (IE‐PINN). This approach integrates both data‐driven and physics‐driven methods to address the significant limitations faced by existing techniques.
Tatthapong Srikitrungruang   +4 more
wiley   +1 more source

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