Navigation is a fundamental problem of mobile robots, for which Deep Reinforcement
Learning (DRL) has received significant attention because of its strong representation and …

Mobile robots contributed significantly to the intelligent development of human society, and
the motion-planning policy is critical for mobile robots. This paper reviews the methods …

The capabilities of autonomous mobile robotic systems have been steadily improving due to
recent advancements in computer science, engineering, and related disciplines such as …

Visual navigation is a task of training an embodied agent by intelligently navigating to a
target object (eg, television) using only visual observations. A key challenge for current deep …

Learning to map the images acquired by a moving agent equipped with a camera sensor to
motion commands for multigoal navigation is challenging. Most existing approaches are still …

Visual navigation is essential for many applications in robotics, from manipulation, through
mobile robotics to automated driving. Deep reinforcement learning (DRL) provides an …

Navigation is a crucial challenge for mobile robots. Currently, deep reinforcement learning
has attracted considerable attention and has witnessed substantial development owing to its …

With the recent development of deep learning, AI models are widely used in various
domains. AI models show good performance for definite tasks such as image classification …

In this paper, we propose a novel method to create visuomotor mobile manipulation
solutions to long-horizon activities. We propose to leverage the recent advances in robot …

In this paper, we address a problem of vision-based 3D robotic navigation using deep
reinforcement learning for an Autonomous Underwater Vehicle (AUV). Our research offers …