The control of multi-robot formations is a crucial aspect in various applications, such as
transport, surveillance and monitoring environments. Maintaining robots in a specific …

In unstructured agricultural fields where autonomous navigation is challenging and
demands additional safety, the operator's experience and knowledge are essential for …

This study presents a spiral pipeline robot designed for detecting and preventing oil and gas
pipeline leakages. A comprehensive analysis of factors such as spiral angle, normal force …

One of the most important challenges in robotics is the development of a Multi-Robot-based
control system in which the robot can make intelligent decisions in a changing environment …

The reliability of sensors and servos is paramount in diagnosing the Heavy-Legged Robot
(HLR). Servo faults stemming from mechanical wear, environmental disturbances, or …

In the realm of dynamic system analysis, the Kalman filter and the alpha-beta filter are widely
recognized for their tracking and prediction capabilities. However, their performance is often …

Machine learning technologies are being integrated into robotic systems faster to enhance
their efficacy and adaptability in dynamic environments. The primary goal of this research …

We propose a robust Bayesian filtering framework for state and multi-modal uncertainty
estimation in urban settings by fusing diverse sensor measurements. Our framework …

Accurate and stable positioning is significant for vehicle navigation systems, especially in
complex urban environments. However, urban canyons and dynamic interference make …

The introduction of autonomous mobile robots for agricultural applications represents a
technological shift towards more efficient farming practices with lesser dependence on the …