With growing numbers of intelligent autonomous systems in human environments, the ability
of such systems to perceive, understand, and anticipate human behavior becomes …

In this review, we provide an overview of emerging trends and challenges in the field of
intelligent and autonomous, or self-driving, vehicles. Recent advances in the field of …

Learning from demonstration, or imitation learning, is the process of learning to act in an
environment from examples provided by a teacher. Inverse reinforcement learning (IRL) is a …

Robots that navigate through human crowds need to be able to plan safe, efficient, and
human predictable trajectories. This is a particularly challenging problem as it requires the …

Learning from demonstration for motion planning is an ongoing research topic. In this paper
we present a model that is able to learn the complex map** from raw 2D-laser range …

Collision avoidance algorithms are essential for safe and efficient robot operation among
pedestrians. This work proposes using deep reinforcement (RL) learning as a framework to …

The recent progress in autonomous vehicle research and development has led to
increasingly widespread testing of fully autonomous vehicles on public roads, where …