Diffusion models (DMs) have emerged as a promising approach for behavior cloning (BC).
Diffusion policies (DP) based on DMs have elevated BC performance to new heights …

Language-conditioned robotic learning has significantly enhanced robot adaptability by
enabling a single model to execute diverse tasks in response to verbal commands. Despite …

Robots trained by Imitation Learning (IL) are used in many tasks (eg, autonomous vehicle
manipulation). Generative Adversarial Imitation Learning (GAIL) assumes that the …

Machine learning classifiers are known to be vulnerable to adversarial attacks which seek to
induce undesired behavior or extract sensitive information from the model. One such class of …

The area of autonomous vehicles is of huge research interest and much has been
accomplished in this area. This study involves three aspects: lane detection, object …

Video analytics, an important research problem, has been well-studied within diverse
research areas and application domains like anomaly detection, safety and explainability …

In the virtual world, the human digital twin is the digital representation of the real-world coun-
terpart or twin. By using these digital equivalent, the performance of products can be …

Abstract Machine Learning (ML) algorithms are in demand in almost every field. Yet, even as
they become commonplace, they are hardly understood. Their complex architecture makes …