Abstract Recently, Multi-Robot Systems (MRS) have attained considerable recognition
because of their efficiency and applicability in different types of real-life applications. This …

This article surveys recent progress and discusses future opportunities for simultaneous
localization and mapping (SLAM) in extreme underground environments. SLAM in …

Autonomous exploration of subterranean environments constitutes a major frontier for
robotic systems as underground settings present key challenges that can render robot …

Search and rescue with a team of heterogeneous mobile robots in unknown and large-scale
underground environments requires high-precision localization and mapping. This crucial …

Autonomous drones will play an essential role in human-machine teaming in future search
and rescue (SAR) missions. We present a prototype that finds people fully autonomously in …

This paper reports on the state of the art in underground SLAM by discussing different SLAM
strategies and results across six teams that participated in the three-year-long SubT …

Deep reinforcement learning has produced many success stories in recent years. Some
example fields in which these successes have taken place include mathematics, games …

The rising frequency of ocean activities, such as ocean transportation and marine resources
development, inevitably leads to a higher incidence of sudden accidents at sea. Maritime …

Confined and subterranean areas are common in many civilian and industrial sites,
although they are hazardous for humans given the presence of noxious gases, extreme …

Space exploration refers to constructing a map with the aid of sensor data. This exploration
is achieved utilizing a group of robots in an obstacle cluttered environment and distributing …