Semantic grounding for long-term autonomy of mobile robots toward dynamic object search in home environments

Y Zhang, G Tian, X Shao, M Zhang… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
In this article, we presents an effective semantic grounding scheme to long-term mobile
robots for dynamic object search in open/dynamic home environments. The challenge of this …

Large-scale dense mapping system based on visual-inertial odometry and densely connected U-Net

C Fan, J Hou, L Yu - IEEE Transactions on Instrumentation and …, 2023 - ieeexplore.ieee.org
Simultaneous localization and mapping (SLAM)-based 3-D reconstruction system mainly
relies on visual odometry, which uses detailed scanning to obtain better reconstruction …

Multi-objective path planning for mobile robot with an improved artificial bee colony algorithm.

Z Yu, P Duan, L Meng, Y Han, F Ye - Mathematical Biosciences and …, 2022 - europepmc.org
Effective path planning (PP) is the basis of autonomous navigation for mobile robots. Since
the PP is an NP-hard problem, intelligent optimization algorithms have become a popular …

Cross-level multi-modal features learning with transformer for rgb-d object recognition

Y Zhang, M Yin, H Wang, C Hua - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Object recognition, one of the main goals of robot vision, is a vital prerequisite for service
robots to perform domestic tasks. Thanks to the rich sense of information provided by RGB-D …

Bi-AM-RRT*: A Fast and Efficient Sampling-Based Motion Planning Algorithm in Dynamic Environments

Y Zhang, H Wang, M Yin, J Wang… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
The efficiency of sampling-based motion planning brings wide application in autonomous
mobile robots. The conventional rapidly exploring random tree (RRT) algorithm and its …

Evaluating techniques for accurate 3d object model extraction through image-based deep learning object detection and point cloud segmentation

A Mora, A Mendez, R Barber - 2023 European Conference on …, 2023 - ieeexplore.ieee.org
Accurate 3D object model extraction is essential for a wide range of robotics applications,
including grasping and object mapping, which require precise knowledge of objects' shape …

HOGN-TVGN: Human-inspired Embodied Object Goal Navigation based on Time-varying Knowledge Graph Inference Networks for Robots

B Yang, X Yuan, Z Ying, J Zhang, B Song… - Advanced Engineering …, 2024 - Elsevier
Object goal navigation tasks are critical for robots operating in unfamiliar environments,
where they must locate specific objects using visual cues. The ability to leverage prior …

[PDF][PDF] Combining LiDAR SLAM and deep learning-based people detection for autonomous indoor mapping in a crowded environment

D Tiozzo Fasiolo, E Maset… - … Archives of the …, 2022 - … -remote-sens-spatial-inf-sci.net
In this paper, we present a mapping system based on an autonomous mobile robot
equipped with a LiDAR device and a camera, that can deal with the presence of people …

Efficient Performance Impact Algorithms for Multirobot Task Assignment With Deadlines

X Bai, C Li, B Zhang, Z Wu… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
This article investigates the multirobot task assignment problem with deadlines, where a
group of distributed heterogeneous robots needs to collaborate effectively to first maximize …

Object-Level Semantic Metric Mapping for Robot Object Search in Home Environment

Z Wang, GH Tian, T Liu - IEEE Transactions on Industrial …, 2024 - ieeexplore.ieee.org
The environmental map plays a crucial role in facilitating the service robot target object
search (TOS). In order to enhance the efficiency of robot TOS and deepen the robot's …