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 …

Abstract Purpose of Review: The article provides an extensive overview on the resilient
autonomy advances made across various missions, orbital or deep-space, that captures the …

Recently, bio-inspired algorithms have been increasingly explored for autonomous robot
path planning on grid-based maps. However, these approaches endure performance …

This article presents a 3D point cloud map-merging framework for egocentric heterogeneous
multi-robot exploration, based on overlap detection and alignment, that is independent of a …

Localization algorithms that rely on 3D LiDAR scanners often encounter temporary failures
due to various factors, such as sensor faults, dust particles, or drifting. These failures can …

This article establishes the novel D+∗, a risk-aware and platform-agnostic heterogeneous
global path planner for robotic navigation in complex environments. The proposed planner …

In the context of the potential future use of unmanned ground vehicles for forest inventories,
we present the first experiences with SPOT, a legged robot equipped with a LiDAR …

The trend of intelligent vehicles is currently expanding, and a new class of unmanned
intelligent vehicles known as wheel-legged vehicles (WLVs) is emerging. WLVs excel in …

Autonomous navigation of robots in harsh and GPS denied subterranean (SubT)
environments with lack of natural or poor illumination is a challenging task that fosters the …

In real-world situations, some unavoidable problems like significant dependence on
environment information, long inference time and weak anti-disturbance ability are often …