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

In recent years, Embodied AI has become one of the main topics in robotics. For the agent to
operate in human-centric environments, it needs the ability to explore previously unseen …

Collaborative autonomous landing of a quadrotor Unmanned Aerial Vehicle (UAV) on a
moving Unmanned Ground Vehicle (UGV) presents challenges due to the need for accurate …

This paper presents the use of deep Reinforcement Learning (RL) for autonomous
navigation of an Unmanned Ground Vehicle (UGV) with an onboard three-dimensional (3D) …

These past years, the domain of Connected and Autonomous Vehicles (CAV) has been
extremely flourishing, with fully autonomous self-driving cars being an active research area …

Featured Application This work is motivated by practical applications, such as smart factories
and warehouses, where unmanned ground vehicles (UGVs) are required to efficiently …

In intralogistics, a large number of tasks are already fully automated. This holds true
especially for tasks where strictly predefined positions and paths are specified and …

In recent years, reinforcement learning algorithms based on automatic curriculum learning
have been increasingly applied to multi-agent system problems. However, in the sparse …

This paper proposes a novel curriculum learning approach for collision avoidance using
feedback from the deep reinforcement learning (DRL) training process. Previous research …

We solve a pedestrian visual navigation problem with a first-person view in an urban setting
via deep reinforcement learning in an end-to-end manner. The major challenges lie in …