Intelligent robotics has the potential to revolutionize various industries by amplifying output,
streamlining operations, and enriching customer interactions. This systematic literature …

We present an historical overview about the connections between the analysis of risk and
the control of autonomous systems. We offer two main contributions. Our first contribution is …

Traversing terrain with good traction is crucial for achieving fast off-road navigation. Instead
of manually designing costs based on terrain features, existing methods learn terrain …

Current value-based multi-agent reinforcement learning methods optimize individual Q
values to guide individuals' behaviours via centralized training with decentralized execution …

We propose a risk-aware motion planning and decision-making method that systematically
adjusts the safety and conservativeness in an environment with randomly moving obstacles …

Ensuring the safety of autonomous vehicles (AV s) in uncertain traffic scenarios is a major
challenge. In this paper, we address the problem of computing the risk that AV s violate a …

One of the main challenges in autonomous robotic exploration and navigation in unknown
and unstructured environments is determining where the robot can or cannot safely move. A …

Planning safe trajectories for nonlinear dynamical systems subject to model uncertainty and
disturbances is challenging. In this work, we present a novel approach to tackle chance …