Traversing terrain with good traction is crucial for achieving fast off-road navigation. Instead
of manually designing costs based on terrain features, existing methods learn terrain …

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 …

Effective use of camera-based vision systems is essential for robust performance in
autonomous off-road driving, particularly in the high-speed regime. Despite success in …

Estimating terrain traversability in off-road environments requires reasoning about complex
interaction dynamics between the robot and these terrains. However, it is challenging to …

A key challenge in off-road navigation is that even visually similar terrains or ones from the
same semantic class may have substantially different traction properties. Existing work …

Reinforcement Learning (RL) provides a pathway for efficiently utilizing the battery storage
in a microgrid. However, traditional value-based RL algorithms used in battery management …

The process of designing costmaps for off-road driving tasks is often a challenging and
engineering-intensive task. Recent work in costmap design for off-road driving focuses on …

Evaluating the risk associated with operations is an essential element of safe planning and
an essential prerequisite in mobile robotics. This issue is very broad, with numerous …

Autonomous navigation in off-road conditions requires an accurate estimation of terrain
traversability. However, traversability estimation in unstructured environments is subject to …

Traversability evaluation is the foundation and core of unmanned platforms for scene
understanding and autonomous navigation, whose successful completion relies on the …