Critical design and control issues of indoor autonomous mobile robots: A review
Robots that can move autonomously and can make intelligent decisions by perceiving their
environments and surrounding objects are known as autonomous mobile robots. Such …
environments and surrounding objects are known as autonomous mobile robots. Such …
Recent developments and applications of simultaneous localization and map** in agriculture
H Ding, B Zhang, J Zhou, Y Yan, G Tian… - Journal of field …, 2022 - Wiley Online Library
Abstract Simultaneous Localization and Map** (SLAM) is a process to use multiple
sensors to position an unmanned mobile vehicle without previous knowledge of the …
sensors to position an unmanned mobile vehicle without previous knowledge of the …
RTAB‐Map as an open‐source lidar and visual simultaneous localization and map** library for large‐scale and long‐term online operation
Distributed as an open‐source library since 2013, real‐time appearance‐based map**
(RTAB‐Map) started as an appearance‐based loop closure detection approach with …
(RTAB‐Map) started as an appearance‐based loop closure detection approach with …
Representation granularity enables time-efficient autonomous exploration in large, complex worlds
We propose a dual-resolution scheme to achieve time-efficient autonomous exploration with
one or many robots. The scheme maintains a high-resolution local map of the robot's …
one or many robots. The scheme maintains a high-resolution local map of the robot's …
Loc-nerf: Monte carlo localization using neural radiance fields
We present Loc-NeRF, a real-time vision-based robot localization approach that combines
Monte Carlo localization and Neural Radiance Fields (NeRF). Our system uses a pre-trained …
Monte Carlo localization and Neural Radiance Fields (NeRF). Our system uses a pre-trained …
Range image-based LiDAR localization for autonomous vehicles
Robust and accurate, map-based localization is crucial for autonomous mobile systems. In
this paper, we exploit range images generated from 3D LiDAR scans to address the problem …
this paper, we exploit range images generated from 3D LiDAR scans to address the problem …
OverlapNet: A siamese network for computing LiDAR scan similarity with applications to loop closing and localization
Localization and map** are key capabilities of autonomous systems. In this paper, we
propose a modified Siamese network to estimate the similarity between pairs of LiDAR …
propose a modified Siamese network to estimate the similarity between pairs of LiDAR …
Lio-a personal robot assistant for human-robot interaction and care applications
J Mišeikis, P Caroni, P Duchamp… - IEEE Robotics and …, 2020 - ieeexplore.ieee.org
Lio is a mobile robot platform with a multi-functional arm explicitly designed for human-robot
interaction and personal care assistant tasks. The robot has already been deployed in …
interaction and personal care assistant tasks. The robot has already been deployed in …
Zee: Zero-effort crowdsourcing for indoor localization
Radio Frequency (RF) fingerprinting, based onWiFi or cellular signals, has been a popular
approach to indoor localization. However, its adoption in the real world has been stymied by …
approach to indoor localization. However, its adoption in the real world has been stymied by …
Robust Monte Carlo localization for mobile robots
Mobile robot localization is the problem of determining a robot's pose from sensor data. This
article presents a family of probabilistic localization algorithms known as Monte Carlo …
article presents a family of probabilistic localization algorithms known as Monte Carlo …