Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Yu, Bangguo"'
Following human instructions to explore and search for a specified target in an unfamiliar environment is a crucial skill for mobile service robots. Most of the previous works on object goal navigation have typically focused on a single input modalit
Externí odkaz:
http://arxiv.org/abs/2411.11609
Navigating robots discreetly in human work environments while considering the possible privacy implications of robotic tasks presents significant challenges. Such scenarios are increasingly common, for instance, when robots transport sensitive object
Externí odkaz:
http://arxiv.org/abs/2410.04302
In advanced human-robot interaction tasks, visual target navigation is crucial for autonomous robots navigating unknown environments. While numerous approaches have been developed in the past, most are designed for single-robot operations, which ofte
Externí odkaz:
http://arxiv.org/abs/2310.07937
Publikováno v:
2023 IEEE International Conference on Robotics and Automation (ICRA)
This work focuses on the problem of visual target navigation, which is very important for autonomous robots as it is closely related to high-level tasks. To find a special object in unknown environments, classical and learning-based approaches are fu
Externí odkaz:
http://arxiv.org/abs/2304.05506
Publikováno v:
2023 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
Visual target navigation in unknown environments is a crucial problem in robotics. Despite extensive investigation of classical and learning-based approaches in the past, robots lack common-sense knowledge about household objects and layouts. Prior s
Externí odkaz:
http://arxiv.org/abs/2304.05501
Publikováno v:
IROS
For high-level human-robot interaction tasks, 3D scene understanding is important and non-trivial for autonomous robots. However, parsing and utilizing effective environment information of the 3D scene is not trivial due to the complexity of the 3D e
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5057022f9e0ef5d23fee4e0835f9b374
https://doi.org/10.1109/iros45743.2020.9341228
https://doi.org/10.1109/iros45743.2020.9341228
Publikováno v:
Complexity, Vol 2020 (2020)
RGBD camera-based VSLAM (Visual Simultaneous Localization and Mapping) algorithm is usually applied to assist robots with real-time mapping. However, due to the limited measuring principle, accuracy, and distance of the equipped camera, this algorith
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0688a56a30242d07cd85203cbbb4cf7b
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.