Autonomous grinding algorithms with future prospect towards SMART manufacturing: A comparative survey
Autonomous Grinding (AG) is a unique kind of manufacturing process which needs extra
operative care, for both robot and environment. Due to the rapid growth of research on AG, a …
operative care, for both robot and environment. Due to the rapid growth of research on AG, a …
Real-time jerk-minimization trajectory planning of robotic arm based on polynomial curve optimization
G Wu, S Zhang - … of the Institution of Mechanical Engineers …, 2022 - journals.sagepub.com
This paper deals with the jerk-minimization trajectory planning of robotic arms, in order to
meet the increasing demands of the practical tasks that require fast motion planning of …
meet the increasing demands of the practical tasks that require fast motion planning of …
Obstacle avoidance and near time-optimal trajectory planning of a robotic manipulator based on an improved whale optimisation algorithm
H Zhao, B Zhang, L Yang, J Sun, Z Gao - Arabian Journal for Science and …, 2022 - Springer
Aiming at the obstacle avoidance trajectory problem of robotic manipulators in operation
space, a combinatorial optimisation solution of the obstacle avoidance path and near time …
space, a combinatorial optimisation solution of the obstacle avoidance path and near time …
[HTML][HTML] A Bottleneck Analysis of Robotics and Automation in the Coca-Cola Production Line
M Mai, S Kunar, A Mohamed - Engineering Proceedings, 2024 - mdpi.com
Automated material transfer between workstations is a key feature of flexible manufacturing
systems. The aim of automation is to increase the output rate while reducing the …
systems. The aim of automation is to increase the output rate while reducing the …
Bearing Fault Classification Using Improved Antlion Optimizer and Extreme Learning Machine
Z Zhao, Y Zhang, Q Ma, Y Rui, G Ye… - … in Materials Science …, 2022 - Wiley Online Library
Bearing is an important part of rotating machinery, and its early fault diagnosis and accurate
classification have always been difficult in engineering application. At present, the models …
classification have always been difficult in engineering application. At present, the models …
Determining and Evaluating Trajectories of a Modular Machine End-Effector in a Manufacturing Environment using a Game Engine
L Zarco, J Siegert, T Schlegel, T Bauernhansl - Procedia CIRP, 2020 - Elsevier
Abstract The University of Stuttgart's Institute of Industrial Manufacturing and Management
(IFF) has proven the feasibility of using a game engine for modelling, visualizing and …
(IFF) has proven the feasibility of using a game engine for modelling, visualizing and …