Intelligent computational techniques for physical object properties discovery, detection, and prediction: A comprehensive survey
The exploding usage of physical object properties has greatly facilitated real-time
applications such as robotics to perceive exactly as it appears in existence. Changes in the …
applications such as robotics to perceive exactly as it appears in existence. Changes in the …
Dde-gan: Integrating a data-driven design evaluator into generative adversarial networks for desirable and diverse concept generation
Generative adversarial networks (GANs) have shown remarkable success in various
generative design tasks, from topology optimization to material design, and shape …
generative design tasks, from topology optimization to material design, and shape …
A computational approach to identifying engineering design problems
CC Obieke, J Milisavljevic-Syed… - Journal of …, 2023 - asmedigitalcollection.asme.org
Identifying new problems and providing solutions are necessary tasks for design engineers
at early-stage product design and development. A new problem fosters innovative and …
at early-stage product design and development. A new problem fosters innovative and …
[PDF][PDF] Self-learning of Delta robot using inverse kinematics and artificial neural networks
Z Iklima, MI Muthahhar, A Khan, A Zody - Sinergi, 2021 - pdfs.semanticscholar.org
Abstract As known as Parallel-Link Robot, Delta Robot is a kind of Manipulator Robot that
consists of three arms mounted in parallel. Delta Robot has a central joint constructed as an …
consists of three arms mounted in parallel. Delta Robot has a central joint constructed as an …
Collision avoidance of mobile robot using Alexnet and NVIDIA Jetson Nano B01
FH Kristanto, Z Iklima - Journal of Integrated and Advanced …, 2024 - asasijournal.id
In this research, an intelligence collision avoidance system on a mobile robot was designed
using the AlexNet image classifier method. AlexNet is a convolutional neural network …
using the AlexNet image classifier method. AlexNet is a convolutional neural network …
Swarm intelligence for deep learning: Concepts, challenges and recent trends
Abstract Machine learning and deep learning have undoubtedly contributed to tremendous
achievements in Artificial Intelligence (AI) in recent years, and more are likely to follow. They …
achievements in Artificial Intelligence (AI) in recent years, and more are likely to follow. They …
[PDF][PDF] Distributed path planning classification with web-based 3D visualization using deep neural network for internet of robotic things
Z Iklima, TM Kadarina - Journal of Science and Technology, 2021 - publisher.uthm.edu.my
Internet of Robotic Things (IoRT) distributes heterogeneous intelligences among devices
and platforms. A distributed control of a three-degree-of-freedom (3-DOF) robot manipulator …
and platforms. A distributed control of a three-degree-of-freedom (3-DOF) robot manipulator …