Cooperative heterogeneous multi-robot systems: A survey
The emergence of the Internet of things and the widespread deployment of diverse
computing systems have led to the formation of heterogeneous multi-agent systems (MAS) …
computing systems have led to the formation of heterogeneous multi-agent systems (MAS) …
Visual SLAM integration with semantic segmentation and deep learning: A review
Simultaneous localization and map** (SLAM) technology is essential for robots to
navigate unfamiliar environments. It utilizes the sensors the robot carries to answer the …
navigate unfamiliar environments. It utilizes the sensors the robot carries to answer the …
Hydra: A real-time spatial perception system for 3D scene graph construction and optimization
Kimera-multi: Robust, distributed, dense metric-semantic slam for multi-robot systems
Multi-robot simultaneous localization and map** (SLAM) is a crucial capability to obtain
timely situational awareness over large areas. Real-world applications demand multi-robot …
timely situational awareness over large areas. Real-world applications demand multi-robot …
Scenegraphfusion: Incremental 3d scene graph prediction from rgb-d sequences
Scene graphs are a compact and explicit representation successfully used in a variety of 2D
scene understanding tasks. This work proposes a method to build up semantic scene …
scene understanding tasks. This work proposes a method to build up semantic scene …
3D dynamic scene graphs: Actionable spatial perception with places, objects, and humans
We present a unified representation for actionable spatial perception: 3D Dynamic Scene
Graphs. Scene graphs are directed graphs where nodes represent entities in the scene (eg …
Graphs. Scene graphs are directed graphs where nodes represent entities in the scene (eg …
Co-fusion: Real-time segmentation, tracking and fusion of multiple objects
In this paper we introduce Co-Fusion, a dense SLAM system that takes a live stream of RGB-
D images as input and segments the scene into different objects (using either motion or …
D images as input and segments the scene into different objects (using either motion or …
A unified framework for multi-view multi-class object pose estimation
One core challenge in object pose estimation is to ensure accurate and robust performance
for large numbers of diverse foreground objects amidst complex background clutter. In this …
for large numbers of diverse foreground objects amidst complex background clutter. In this …