In recent years, Unmanned aerial vehicles (UAVs) have witnessed a surge in popularity and
implementation for both civilian and military usage. UAVs can be utilized for a wide range of …

The primary objective of this study is to investigate the effects of mobile robot navigation
using a fuzzy logic framework based on Z-numbers implemented within the Robot Operating …

This article proposes a navigation method considering blind spots based on the robot
operating system (ROS) navigation stack and blind spots layer (BSL) for a wheeled mobile …

Safe autonomous navigation in unknown environments remains a critical challenge for
robots with limited sensing capabilities. While safety-critical control techniques, such as …

Landmines are underground explosive devices that explode when humans, vehicles, or
animals pass them. Manual landmine detection is dangerous, time-consuming, and limited …

This paper proposes an improved Optimal Reciprocal Collision Avoidance (ORCA)
algorithm for robot navigation in crowds using a deep reinforcement learning algorithm, Multi …

Industry 4.0 includes IoT and smart production. With integrated smart digital technology, it
enables the industries quick and efficient production and supply chain management …

Autonomous Mobile Robots (AMRs) play a crucial role in autonomously transporting
payloads from one point to another in the industrial floor space. Considering the significance …

This paper focuses on the design and implementation of a versatile delivery robot which
integrates a secure locking system, GPS navigation, customer authentication, and a camera …

This paper describes a driving direction estimation algorithm of a wheel-less snake robot
and verifies that the algorithm allows the robot to locomote as desired in ROS-based …