Vision-based holistic scene understanding towards proactive human–robot collaboration

J Fan, P Zheng, S Li - Robotics and Computer-Integrated Manufacturing, 2022 - Elsevier
Recently human–robot collaboration (HRC) has emerged as a promising paradigm for mass
personalization in manufacturing owing to the potential to fully exploit the strength of human …

MR-TopoMap: Multi-robot exploration based on topological map in communication restricted environment

Z Zhang, J Yu, J Tang, Y Xu… - IEEE Robotics and …, 2022 - ieeexplore.ieee.org
Multi-robot exploration in unknown environments is a fundamental task for a multi-robot
system, involving inter-robot communication through messages among the robots. However …

UWB channel impulse responses for positioning in complex environments: A detailed feature analysis

S Kram, M Stahlke, T Feigl, J Seitz, J Thielecke - Sensors, 2019 - mdpi.com
Radio signal-based positioning in environments with complex propagation paths is a
challenging task for classical positioning methods. For example, in a typical industrial …

Floorplannet: Learning topometric floorplan matching for robot localization

D Feng, Z He, J Hou, S Schwertfeger… - … on Robotics and …, 2023 - ieeexplore.ieee.org
Given a building floorplan, humans can localize themselves by matching the observation of
the environment with the floorplan using geometric, semantic, and topological clues …

Hierarchical topometric representation of 3D robotic maps

Z He, H Sun, J Hou, Y Ha, S Schwertfeger - Autonomous Robots, 2021 - Springer
In this paper, we propose a method for generating a hierarchical, volumetric topological map
from 3D point clouds. There are three basic hierarchical levels in our map: storey-region …

A hybrid LiDAR-based mapping framework for efficient path planning of AGVs in a massive indoor environment

H Wen, Z Song, S Liu, Z Dong… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Path planning is a computation-consuming task for autonomous ground vehicles (AGVs) in a
massive indoor environment, especially for AGVs having limited computing resources …

Methods and Applications of Space Understanding in Indoor Environment—A Decade Survey

S Pokuciński, D Mrozek - Applied Sciences, 2024 - mdpi.com
The demand for digitizing manufacturing and controlling processes has been steadily
increasing in recent years. Digitization relies on different techniques and equipment, which …

Multitask learning for scalable and dense multilayer bayesian map inference

L Gan, Y Kim, JW Grizzle, JM Walls… - IEEE Transactions …, 2022 - ieeexplore.ieee.org
In this article, we present a novel and flexible multitask multilayer Bayesian mapping
framework with readily extendable attribute layers. The proposed framework goes beyond …

[HTML][HTML] Exploiting the confusions of semantic places to improve service robotic tasks in indoor environments

AC Hernandez, C Gomez, R Barber… - Robotics and Autonomous …, 2023 - Elsevier
A significant challenge in service robots is the semantic understanding of their surrounding
areas. Traditional approaches addressed this problem by segmenting the environment into …

[PDF][PDF] 语义信息增强的3D 激光SLAM 技术进展

周治国, 邸顺帆, 冯新 - 仪器仪表学报, 2023 - researchgate.net
由于激光雷达可直接获得测距信息且相较于视觉传感器对光照等环境变化更具鲁棒性等优点,
激光同步定位与建图(SLAM) 技术近年来得到广泛发展. 传统激光SLAM 已取得很多研究成果 …