Results 61 to 70 of about 227,956 (276)
Stable Imitation of Multigait and Bipedal Motions for Quadrupedal Robots Over Uneven Terrains
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
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
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
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
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
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]
S. Rasoul Etesami +3 more
openalex +1 more source
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
Adversarial Training for Face Recognition Systems using Contrastive Adversarial Learning and Triplet Loss Fine-tuning [PDF]
Nazmul Karim +3 more
openalex +1 more source
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

