This article discusses the scientifically and industrially important problem of automating the
process of unloading goods from standard ship** containers. We outline some of the …

In this article, we describe an approach to address the issue of automatically building and
using high-level symbolic representations that capture physical interactions between objects …

Robotic manipulation of objects in clutter remains a challenging problem to date. The
challenge is posed by various levels of complexity involved in interaction among objects …

Object manipulation in cluttered scenes is a difficult and important problem in robotics. To
efficiently manipulate objects, it is crucial to understand their surroundings, especially in …

The need for robotic warehouse automation is emerging in the logistics industry because of
the risk of manual labor-related employee injuries during truck unloading. The automatic …

Understanding physical relations between objects, especially their support relations, is
crucial for robotic manipulation. In this paper, we propose a method for extracting more …

Container unloading is one of the most challenging tasks in depalletizing applications and
has not been well addressed. Because it is non-trivial to accurately detect irregularly packed …

In this paper, the developed trunk cargo unloading automation system is introduced, and the
RGB-D sensor-based box loading situation recognition method and unloading plan applied …

The state-of-the-art object pose estimation approaches represent the set of detected poses
together with corresponding uncertainty. The inaccurate noisy poses may result in a …

In this paper, we propose an approach for robotic manipulation systems to autonomously
reason about their environments under incomplete information. The target application is to …