Metagraspnet: A large-scale benchmark dataset for scene-aware ambidextrous bin picking via physics-based metaverse synthesis
Autonomous bin picking poses significant challenges to vision-driven robotic systems given
the complexity of the problem, ranging from various sensor modalities, to highly entangled …
the complexity of the problem, ranging from various sensor modalities, to highly entangled …
[HTML][HTML] Research on Robot Grasping Based on Deep Learning for Real-Life Scenarios
J Hu, Q Li, Q Bai - Micromachines, 2023 - mdpi.com
The application of robots, especially robotic arms, has been primarily focused on the
industrial sector due to their relatively low level of intelligence. However, the rapid …
industrial sector due to their relatively low level of intelligence. However, the rapid …
Deep Learning-based 6D pose estimation of texture less objects for Industrial Cobots
C Vikram, KP, M Radhakrishnan… - Proceedings of the 2023 …, 2023 - dl.acm.org
Robotics and artificial intelligence have led to a significant improvement in the automation of
various industrial processes. 6D pose estimation for industrial robotic arms refers to the …
various industrial processes. 6D pose estimation for industrial robotic arms refers to the …
GUI Integration and Virtual Machine Constructions for Image Processing: Phenomenological and Database Engineering Insights into Computer Vision
N Christen, A Neustein - AI, IoT, Big Data and Cloud Computing for …, 2023 - Springer
This chapter will be focused on image processing and computer vision. We will consider
requirements for a hypothetical virtual machine whose intent is consolidation of access to …
requirements for a hypothetical virtual machine whose intent is consolidation of access to …