Autonomous exploration of subterranean environments remains a major challenge for
robotic systems. In response, this paper contributes a novel graph‐based subterranean …

With the increasing complexity of modern air warfare, an efficient and robust mission
planning, which mainly includes task assignment and path planning, becomes the key issue …

This paper presents a novel path planning strategy for fast and agile exploration using aerial
robots. Tailored to the combined need for large-scale exploration of challenging and …

Resilient pose estimation for autonomous systems, and especially small unmanned aerial
robots, is one of the core capabilities required for these robots to perform their assigned …

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 …

This work presents a field-hardened autonomous multimodal legged-aerial robotic system
for subterranean exploration, extending a legged robot to be the carrier of an aerial platform …

Path planning is one of the key technologies for unmanned driving of underground
intelligent vehicles. Due to the complexity of the drift environment and the vehicle structure …

Collaborative exploration in an unknown environment without external positioning under
limited communication is an essential task for multi-robot applications. For inter-robot …

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

In this paper, a novel multi-robot autonomous exploration approach CURE is proposed
based on dynamic Voronoi diagrams and centroids of unknown connected regions …