Future lunar/planetary exploration missions will demand mobile robots with the capability of
reaching more challenging science targets and driving farther per day than the current Mars …

The work presents a review on ongoing researches in terrain-related challenges influencing
the navigation of Autonomous Robots, specifically Unmanned Ground ones. The paper aims …

The zero-velocity update (ZUPT) algorithm provides valuable state information to maintain
the inertial navigation system (INS) reliability when stationary conditions are satisfied …

In this paper, a hybrid method based on deep learning is proposed to visually classify
terrains encountered by mobile robots. Considering the limited computing resource on …

This paper is the first comparative study described results of locomotion system performance
of ground mobile robots (wheeled and tracked tractor robots) in agricultural drawbar works …

Accurate wheel slip estimation facilitates Wheeled Mobile Robots (WMRs) with improved
localization and traversability monitoring which are crucial to their autonomy in challenging …

In this work, a novel single-level adaptive trajectory planner and tracking controller is
developed for off-road autonomous vehicles operating on deformable terrains. Trajectory …

For the design of space missions in the Moon and planets, analysis of mobility in robots is
crucial and poor planning has led to abortion of missions in the past. To mitigate the risk of …

Safe mechanical evacuation of hazardous bulk materials in industrial confined spaces with
improper conditions (poor light for vision, dust or vapor, high temperature, and toxic fume) …

This paper presents a new approach for predicting slippage associated with individual
wheels in off-road mobile robots. More specifically, machine learning regression algorithms …