We propose a dual-resolution scheme to achieve time-efficient autonomous exploration with
one or many robots. The scheme maintains a high-resolution local map of the robot's …

In this article, we present an optimization-based framework for multicopter trajectory
planning subject to geometrical configuration constraints and user-defined dynamic …

Autonomous Exploration Development Environment is an open-source repository released
to facilitate development of high-level planning algorithms and integration of com-plete …

Deep learning has had remarkable success in robotic perception, but its data-centric nature
suffers when it comes to generalizing to ever-changing environments. By contrast, physics …

Subterranean robot exploration is difficult, with many mobility, communications, and
navigation challenges that require an approach with a diverse set of systems, and reliable …

We present a method for efficiently exploring highly convoluted environments. The method
incorporates two planning stages-an exploration stage for extending the boundary of the …

In practical applications, autonomous quadrotors are still facing significant challenges, such
as the detection and avoidance of very small and even dynamic obstacles (eg, tree …

Quadrotors are agile platforms. With human experts, they can perform extremely high-speed
flights in cluttered environments. However, fully autonomous flight at high speed remains a …

To achieve successful field autonomy, mobile robots need to freely adapt to changes in their
environment. Visual navigation systems such as Visual Teach and Repeat (VT&R) often …

The problem of path planning has been studied for years. Classic planning pipelines,
including perception, mapping, and path searching, can result in latency and compounding …