Object pose recovery has gained increasing attention in the computer vision field as it has
become an important problem in rapidly evolving technological areas related to autonomous …

For robots to navigate and interact more richly with the world around them, they will likely
require a deeper understanding of the world in which they operate. In robotics and related …

Abstract Simultaneous Localization and Mapping (SLAM) with an astonishing research
history of over three decades has brought the concept to the door step of truly autonomous …

Motivated by the tremendous progress we witnessed in recent years, this paper presents a
survey of the scientific literature on the topic of Collaborative Simultaneous Localization and …

Object-level data association and pose estimation play a fundamental role in semantic
SLAM, which remain unsolved due to the lack of robust and accurate algorithms. In this …

Object SLAM is considered increasingly significant for robot high-level perception and
decision-making. Existing studies fall short in terms of data association, object …

Enabling fully autonomous robots capable of navigating and exploring large-scale, unknown
and complex environments has been at the core of robotics research for several decades. A …

For a network of robots working in a specific environment, relative localization among robots
is the basis for accomplishing various upper-level tasks. To avoid the latency and fragility of …

The progress in the research of various areas of robotics, artificial intelligence, and other
similar scientific disciplines enabled the application of multi-robot systems in different …

Visual simultaneous localization and mapping (SLAM) has attracted high attention over the
past few years. In this paper, a comprehensive survey of the state-of-the-art feature-based …