Advancements in Q‐learning meta‐heuristic optimization algorithms: A survey
This paper reviews the integration of Q‐learning with meta‐heuristic algorithms (QLMA) over
the last 20 years, highlighting its success in solving complex optimization problems. We …
the last 20 years, highlighting its success in solving complex optimization problems. We …
Technological development and optimization of pushing and gras** functions in robot arms: A review
A Efendi, YH Shao, CY Huang - Measurement, 2024 - Elsevier
Pushing and gras** are fundamental actions in robotic manipulation, applicable across
diverse fields ranging from industrial automation to assistive robotics. Robotic arm faces …
diverse fields ranging from industrial automation to assistive robotics. Robotic arm faces …
[HTML][HTML] A method for the assessment and compensation of positioning errors in industrial robots
Industrial Robots (IR) are currently employed in several production areas as they enable
flexible automation and high productivity on a wide range of operations. The IR low …
flexible automation and high productivity on a wide range of operations. The IR low …
Development of apple detection system and reinforcement learning for apple manipulator
N Andriyanov - Electronics, 2023 - mdpi.com
Modern deep learning systems make it possible to develop increasingly intelligent solutions
in various fields of science and technology. The electronics of single board computers …
in various fields of science and technology. The electronics of single board computers …
Modeling and control of a spherical robot in the CoppeliaSim simulator
This article presents the development of a model of a spherical robot that rolls to move and
has a single point of support with the surface. The model was developed in the CoppeliaSim …
has a single point of support with the surface. The model was developed in the CoppeliaSim …
A novel calibration method for kinematic parameter errors of industrial robot based on Levenberg–Marquard and Beetle Antennae Search algorithm
M Fan, H Zhao, J Wen, L Yu, H **a - Measurement Science and …, 2023 - iopscience.iop.org
In this paper, a new kinematic parameter error calibration method based on the Levenberg–
Marquard and the beetle antennae search algorithm is proposed to enhance the positioning …
Marquard and the beetle antennae search algorithm is proposed to enhance the positioning …
Sensing and navigation for multiple mobile robots based on deep q-network
Y Dai, S Yang, K Lee - Remote Sensing, 2023 - mdpi.com
In this paper, a novel DRL algorithm based on a DQN is proposed for multiple mobile robots
to find optimized paths. The multiple robots' states are the inputs of the DQN. The DQN …
to find optimized paths. The multiple robots' states are the inputs of the DQN. The DQN …
[HTML][HTML] A Method for Simulating the Positioning Errors of a Robot Gripper
The research is aimed at creating a methodology for increasing the positioning accuracy of
an industrial robot and minimizing the vibration of the robot gripper by applying machine …
an industrial robot and minimizing the vibration of the robot gripper by applying machine …
Motion-Tracking Control of Mobile Manipulation Robotic Systems Using Artificial Neural Networks for Manufacturing Applications
Robotic systems have experienced exponential growth in their utilization for manufacturing
applications over recent decades. Control systems responsible for executing desired robot …
applications over recent decades. Control systems responsible for executing desired robot …
Robotics and Aseptic Processing in View of Regulatory Requirements
Several nanomedicine based medicinal products recently reached the market thanks to the
drive of the COVID-19 pandemic. These products are characterized by criticality in scalability …
drive of the COVID-19 pandemic. These products are characterized by criticality in scalability …