The Impact of LiDAR Configuration on Goal-Based Navigation within a Deep Reinforcement Learning Framework

KB Olayemi, M Van, S McLoone, S McIlvanna, Y Sun… - Sensors, 2023 - mdpi.com
Over the years, deep reinforcement learning (DRL) has shown great potential in mapless
autonomous robot navigation and path planning. These DRL methods rely on robots …

Identification of differential drive robot dynamic model parameters

M Siwek, J Panasiuk, L Baranowski, W Kaczmarek… - Materials, 2023 - mdpi.com
The paper presents the identification process of the mathematical model parameters of a
differential-drive two-wheeled mobile robot. The values of the unknown parameters of the …

An ROS architecture for autonomous mobile robots with UCAR platforms in smart restaurants

P Guo, H Shi, S Wang, L Tang, Z Wang - Machines, 2022 - mdpi.com
To lessen the spread of COVID-19 and other dangerous bacteria and viruses, contactless
distribution of different items has gained widespread popularity. In order to complete delivery …

Customized fastSLAM algorithm: Analysis and assessment on real mobile platform

B Maziarz, PD Domański - Nonlinear Dynamics, 2022 - Springer
The task of simultaneous localization and mapping (SLAM) allows a mobile robot to localize
itself in the unknown environment, while building the map of the surrounding landscape. It is …

[PDF][PDF] Intelligent Motion Control System for the Mobile Robotic Platform.

I Tsmots, V Teslyuk, Y Opotyak, V Rabyk - COLINS (3), 2023 - ceur-ws.org
Most of the modern mobile robotic platforms use interactive management using computing
and artificial intelligence technologies. A feature of mobile robotic platform is the ability to …

A Development of Utilising MR to get Dynamic Motion to Solve Applications in Space

M Manwal, D Dhabliya, M Jweeg… - 2024 4th …, 2024 - ieeexplore.ieee.org
This paper describes an adaptive motion control system with potential field method to allow
a mobile robot to move respectfully. A risk map was first defined to show the level of risk for …

AMR system for autonomous indoor navigation in unknown environments

A Rea - 2022 - webthesis.biblio.polito.it
With the introduction and advancement of technologies now essential to industrial
processes, technological evolution has significantly advanced the field of automation. The …

Development of a Low-Cost Autonomous Healthcare Digital Assistant Lead RoBot (DALBOT)

A Mujahid, A Kalam, SM Alizadeh… - 2022 IEEE PES 14th …, 2022 - ieeexplore.ieee.org
Autonomous robots' applications have been increasing in various fields, including
healthcare. However, the use of autonomous robots has posed various challenges in terms …

A Robot Mapping Technique for Indoor Environments

S Tantravahi, MA Gundapuneni - International Conference on Data …, 2023 - Springer
This paper presents a robot mapping technique that generates occupancy grid maps of the
environments traversed by a robot using both 2D and 3D sensor data. The result of the …

Indoor Environment Surveillance via an Autonomous Mobile Robotic Device

R Jeya, R Vanidhasri, SV Manikanthan… - Nanotechnology …, 2024 - nano-ntp.com
Research towards the building of intelligent surveillance systems is progressing. In this
case, it is standard procedure to utilize mobile and multifunction robots as an attempt to …