In the intersection of Artificial Intelligence (AI) and Robotics, autonomous object
manipulation has emerged as a pivotal research domain, finding applications in sectors as …

This paper introduces Amazon Robotic Manipulation Benchmark (ARMBench), a large-
scale, object-centric benchmark dataset for robotic manipulation in the context of a …

A new generation of automated bin picking systems using deep learning is evolving to
support increasing demand for e-commerce. To accommodate a wide variety of products …

Cloud robotics has recently emerged as a collaborative technology between cloud
computing and service robotics enabled through progress in wireless networking, large …

The limitation of current visual recognition methods is a big obstacle for the application of
automated robot arm systems into industrial projects, which require high precision and …

Robotic pick-and-place represents a nascent but swiftly evolving field in automation
research. Most existing research relies on three-dimensional (3D) observations obtained …

Random bin-picking is a prominent, useful, and challenging industrial robotics application.
However, many industrial and real-world objects are planar and have oriented surface …

In order to build a stable and reliable system for the Amazon Robotics Challenge we went
through a detailed study of the performance and system requirements based on the rules …

The primary objective of this research work is to converge into an accurate working
algorithm for object recognition in a cluttered scene and subsequently helping the BAXTER …

Cloud computing is a ubiquitous term used today for computational models that rely on
interconnected computers over the Internet offering greater processing power and storage …