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 …
M Sualeh, GW Kim - International Journal of Control, Automation and …, 2019 - Springer
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 …
Y Wu, Y Zhang, D Zhu, Y Feng… - 2020 IEEE/RSJ …, 2020 - ieeexplore.ieee.org
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 …
Y Wu, Y Zhang, D Zhu, Z Deng, W Sun… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
Object SLAM is considered increasingly significant for robot high-level perception and decision-making. Existing studies fall short in terms of data association, object …
K Ebadi, M Palieri, S Wood, C Padgett… - Journal of Intelligent & …, 2021 - Springer
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 …
S Wang, Y Wang, D Li, Q Zhao - Sensors, 2023 - mdpi.com
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 …