Autonomous robot operation in unstructured and unknown environments requires efficient
techniques for mapping and exploration using streaming range and visual observations …

Autonomous exploration of unknown environments using a team of mobile robots demands
distributed perception and planning strategies to enable efficient and scalable performance …

This paper proposes an informative trajectory planning approach, namely,\textit {adaptive
particle filter tree with sigma point-based mutual information reward approximation}(ASPIRe) …

In this letter, we describe a novel roadmap construction method in unknown environments,
which relies on the extraction of the Hamilton-Jacobi skeleton of the free space. This …

This paper proposes a novel\emph {model-based policy gradient algorithm} for tracking
dynamic targets using a mobile robot, equipped with an onboard sensor with a limited field …

In this work, we propose a deep reinforcement learning (DRL) based reactive planner to
solve large-scale Lidar-based autonomous robot exploration problems in 2D action space …

We present an efficient and scalable learning-based autonomous exploration system for
mobile robots navi-gating unknown indoor environments. Our system incorporates three …

To improve environmental information gathering of intelligent vehicles in unknown scenes,
this brief presents a hierarchical online informative path planning (IPP) framework …

Many real-world mobile robot applications, such as disaster response, military
reconnaissance, and environmental monitoring, require operating in unknown and …

Nowadays with the growth of large-scale societal infrastructure systems, there has been
significant research attention on improving efficiency, guaranteeing safety, reducing …