In the new era of intelligent systems, small-scale electronics and advanced sensors, the
application use-cases and operational capabilities of autonomous robots are exponentially …

Predicting the trajectory of stochastic dynamical systems (SDSs) is an intriguing problem in
numerous fields, where characterizing the predictability of SDSs is of fundamental …

In this paper, a novel and innovative methodology for feasible motion planning in the multi-
agent system is developed. On the basis of velocity obstacles characteristics, the chance …

The task of highly effective navigation is certainly one of the critical technologies of
autonomous vehicles that have been widely investigated by researchers. In this paper, a …

This paper presents a method developed to predict the flight-time employed by a drone to
complete a planned path adopting a machine-learning-based approach. A generic path is …

The orbital environment surrounding the Moon is large and dynamically chaotic, making the
generation of optimal trajectories between specific points a difficult challenge to tackle. As …

1.1. Background Details. Nowadays, the bulk of data is available through various space
missions. Technological advancements are also taking place in domains like artificial …

Ultrasonic motors (USMs) are commonly used in aerospace, robotics, and medical devices,
where fast and precise motion is needed. Remarkably, sliding mode controller (SMC) is an …