Next-Generation swimming pool drowning prevention strategy integrating AI and IoT technologies

WC Kao, YL Fan, FR Hsu, CY Shen, LD Liao - Heliyon, 2024 - cell.com
Drowning, as a leading cause of unintentional injury-related deaths worldwide, is a major
public health concern. Swimming pool drowning is the main cause of most drowning …

A multi-objective modified PSO for inverse kinematics of a 5-DOF robotic arm

N Rokbani, B Neji, M Slim, S Mirjalili, R Ghandour - Applied Sciences, 2022 - mdpi.com
In this paper, a new modified particle swarm optimization, m-PSO, is proposed, in which the
novelty consists of proposing a fitness-based particle swarm optimization algorithm, PSO …

[HTML][HTML] Kinematic calibration for collaborative robots on a mobile platform using motion capture system

L Žlajpah, T Petrič - Robotics and Computer-Integrated Manufacturing, 2023 - Elsevier
For modern robotic applications that go beyond the typical industrial environment, absolute
accuracy is one of the key properties that make this possible. There are several approaches …

Deep reinforcement learning with inverse jacobian based model-free path planning for deburring in complex industrial environment

MR Rahul, SS Chiddarwar - Journal of Intelligent & Robotic Systems, 2024 - Springer
In this study, we present an innovative approach to robotic deburring path planning by
combining deep reinforcement learning (DRL) with an inverse Jacobian strategy. Existing …

New method and portable measurement device for the calibration of industrial robots

C Icli, O Stepanenko, I Bonev - Sensors, 2020 - mdpi.com
This paper presents an automated calibration method for industrial robots, based on the use
of (1) a novel, low-cost, wireless, 3D measuring device mounted on the robot end-effector …

A geometric approach for kinematic identification of an industrial robot using a monocular camera

AA Hayat, RA Boby, SK Saha - Robotics and computer-integrated …, 2019 - Elsevier
We propose a generic formulation to identify the kinematic parameters of an industrial robot
using a geometric approach when no prior information about the robot's kinematics is …

Dynamics modeling of industrial robotic manipulators: a machine learning approach based on synthetic data

S Baressi Šegota, N Anđelić, M Šercer, H Meštrić - Mathematics, 2022 - mdpi.com
Obtaining a dynamic model of the robotic manipulator is a complex task. With the growing
application of machine learning (ML) approaches in modern robotics, a question arises of …

Artificial Neural Networks for inverse kinematics problem in articulated robots

D Cagigas-Muñiz - Engineering Applications of Artificial Intelligence, 2023 - Elsevier
The inverse kinematics problem in articulated robots implies to obtain joint rotation angles
using the robot end effector position and orientation tool. Unlike the problem of direct …

Automatic Denavit-Hartenberg parameter identification for serial manipulators

C Faria, JL Vilaça, S Monteiro… - IECON 2019-45th …, 2019 - ieeexplore.ieee.org
An automatic algorithm to identify Standard Denavit-Hartenberg parameters of serial
manipulators is proposed. The method is based on geometric operations and dual vector …

How do you do the things that you do? Ethological approach to the description of robot behaviour

B Korcsok, P Korondi - Biologia Futura, 2023 - Springer
The detailed description of behaviour of the interacting parties is becoming more and more
important in human–robot interaction (HRI), especially in social robotics (SR). With the rise …