We present an unsupervised 3D deep learning framework based on a ubiquitously true
proposition named by us view-object consistency as it states that a 3D object and its …

Object Detection (OD) is an important computer vision problem for industry, which can be
used for quality control in the production lines, among other applications. Recently, Deep …

Autonomous sorting is a crucial task in industrial robotics which can be very challenging
depending on the expected amount of automation. Usually, to decide where to sort an …

Collaborative multi-sensor perception enables a sensor network to provide multiple views or
observations of an environment, in a way that collects multiple observations into a cohesive …

The last industrial revolutions and the digital transformation have led to a rise of robotics and
to the emergence of the concept of digital twin. A major challenge falls within the update of …

Collaborative multi-robot perception provides multiple views of an environment, offering
varying perspectives to collaboratively understand the environment even when individual …

Recently, with the advancement in 2D imaging techniques and 3D visual sensors such as
LiDAR, RGB-D cameras, etc. The use of 2D and 3D data is ubiquitous in various fields like …

Human-robot teaming is a critical capability, enabling humans and robots to work alongside
each other as teammates. Robots perform a variety of tasks alongside humans, and …

In the growing field of AI, designing an agent around a proposed environment is a major
starting point, guiding work in reducing error and improving performance. However in real …

Autonomous sorting is a crucial task in industrial robotics which can be very challenging
depending on the expected amount of automation. Usually, to decide where to sort an …