Advances in hardware design have made wheeled mobile robots (WMRs) exceptionally
mobile. To fully exploit this mobility, we present a novel dynamic model formulation for use in …

Perception algorithms that provide estimates of their uncertainty are crucial to the
development of autonomous robots that can operate in challenging and uncontrolled …

Skid-steer drive systems are widely used in mobile robot platforms. Such systems are
subject to significant slippage and skidding during normal operation due to their nature. The …

In subarctic and arctic areas, large and heavy skid-steered robots are preferred for their
robustness and ability to operate on difficult terrain. State estimation, motion control and path …

Fast and high-fidelity dynamic model is very useful for planning, control, and estimation.
Here, we present a fixed-time-step, discrete-time dynamic model of differential-drive vehicle …

Articulated wheeled mobile robots (AWMRs) have reconfigurable body structures that permit
them to traverse rough terrains. Predicting trajectories of these robots on a rough surface is …

Intelligence incorporated in many devices makes it easier to achieve self-balancing and
autonomous driving in differential drive robot. Basically, differential drive robotic system …

This paper describes a formal model of a “location, heading and speed” waypoint navigation
task for an autonomous ground vehicle—that is, a task of navigating the vehicle towards a …

In modern agriculture, many of the tasks necessary for the smooth operation of a farm can be
categorised as dull, dirty, or dangerous. This makes such operations a prime candidate for …

The research conducted in this paper focuses on providing a superior solution for controlling
the active suspension system through machine learning algorithm. An active suspension …