R Lai, Z Wu, X Liu, N Zeng - Sustainability, 2023 - mdpi.com
In terms of mobile robot path planning, the traditional A* algorithm has the following problems: a long searching time, an excessive number of redundant nodes, and too many …
Unmanned aerial vehicles (UAVs) are a quintessential example of automation in the field of avionics. UAVs provide a platform for performing a wide variety of tasks, but in each case the …
E Krell, A Sheta, APR Balasubramanian… - Journal of Artificial …, 2019 - sciendo.com
The autonomous navigation of robots in unknown environments is a challenge since it needs the integration of a several subsystems to implement different functionality. It needs …
J Singh, N Tyagi, S Singh, F Ali… - IEEE Internet of Things …, 2024 - ieeexplore.ieee.org
Due to the increasing need for accurate location-based services, Indoor Positioning Systems (IPS) have evolved rapidly. This study reviews the literature published from 2010 to 2024 …
Finding the optimum path for mobile robots is now an essential task as lots of autonomous mobile robots are widely used in factories, hospitals, farms, etc. Many path planning …
The rapid expansion in the industrial revolution has been aroused to utilize of the robot arm in various high accuracy and productivity applications. For guiding the robot arm accurately …
An Industrial Robot is used in industries for transporting, assembly, manufacturing and many more applications. Industrial robots include manufacturing robots, material handling robots …
PK Mohanty, HS Dewang - Journal of the Brazilian Society of Mechanical …, 2021 - Springer
Finding the shortest path to the destination is a vital need for autonomous mobile robots. In this article, a smart adaptive particle swarm optimization (APSO) algorithm is proposed for …
Z Elmi, MÖ Efe - 2018 IEEE International Conference on …, 2018 - ieeexplore.ieee.org
Finding the most appropriate path in robot navigation has been an interesting challenge in recent years. A number of different techniques have been proposed to address this problem …