18 papers · ranked by Valyu relevance
César Cadena, Luca Carlone, Henry Carrillo, Yasir Latif + 4 more
'Davide Scaramuzza' 'José Neira' 'Ian Reid' 'John J. Leonard'] | @article{Cadena16tro-SLAMfuture, | | | | --- | --- | --- | | title | = | {Past, Present, and Future of Simultaneous Localization And Mapping: Towards the Robust-Perception Age}, | | author | = | {C. Cadena and L. Carlone and H. Carrillo and Y. Latif and…
Muhammad Farhan Ahmed, Khayyam Masood, Vincent Fremont, Isabelle Fantoni
'Isabelle Fantoni'] This article presents a comprehensive review of the Active Simultaneous Localization and Mapping (A-SLAM) research conducted over the past decade. It explores the formulation, applications, and methodologies employed in A-SLAM, particularly in trajectory generation and control-action selection…
Authors not listed
—In addition to the core tasks of simultaneous localization and mapping (SLAM), active SLAM additionally involves generating robot actions that enable effective and efficient exploration of unknown environments. However, existing active SLAM pipelines are limited by three main factors. First, they inherit the…
Julio A. Placed, Jared Strader, Henry Carrillo, Nikolay Atanasov + 3 more
'Vadim Indelman' 'Luca Carlone' 'José A. Castellanos'] Abstract—Active Simultaneous Localization and Mapping (SLAM) is the problem of planning and controlling the motion of a robot to build the most accurate and complete model of the surrounding environment. Since the first foundationa l work in active perception…
Zhenyuan Yang, Ash Wan Yaw Sang, M. A. Viraj J. Muthugala, Mohan Rajesh Elara
Active Simultaneous Localization and Mapping (A-SLAM) technology enables a robot to autonomously plan its movements to build a comprehensive and accurate map of its surroundings. However, most existing SLAM algorithms are not robust in dynamic environments, as moving objects can negatively impact mapping and…
Mohit Deshpande, Richard Kim, Dhruva Kumar, Jong Jin Park + 1 more
'Jim Zamiska'] Abstract— Autonomous exploration to build a map of an unknown environment is a fundamental robotics problem. However, the quality of the map directly influences the quality of subsequent robot operation. Instability in a simultaneous localization and mapping (SLAM) system can lead to poorquality maps and…
Iker Lluvia, Elena Lazkano, Ander Ansuategi, Marius Leordeanu
Simultaneous localization and mapping responds to the problem of building a map of the environment without any prior information and based on the data obtained from one or more sensors. In most situations, the robot is driven by a human operator, but some systems are capable of navigating autonomously while mapping…
Krzysztof Ćwian, Michał R. Nowicki, Jan Wietrzykowski, Piotr Skrzypczyński + 1 more
'Piotr Skrzypczyński' 'Radu Danescu'] Although visual SLAM (simultaneous localization and mapping) methods obtain very accurate results using optimization of residual errors defined with respect to the matching features, the SLAM systems based on 3-D laser (LiDAR) data commonly employ variants of the iterative closest…
Jorge Othón Esparza-Jiménez, Michel Devy, José L. Gordillo, Lianqing Liu + 1 more
'Lianqing Liu' 'Yajing Shen'] Many applications require the localization of a moving object, e.g., a robot, using sensory data acquired from embedded devices. Simultaneous localization and mapping from vision performs both the spatial and temporal fusion of these data on a map when a camera moves in an unknown…
Hongrui Peng, Ziyu Zhao, Liguan Wang, Hui Kong
SLAM (Simultaneous Localization and Mapping) based on 3D LiDAR (Laser Detection and Ranging) is an expanding field of research with numerous applications in the areas of autonomous driving, mobile robotics, and UAVs (Unmanned Aerial Vehicles). However, in most real-world scenarios, dynamic objects can negatively impact…
М. Л. Филипенко, Ilya Afanasyev
—This article presents a comparative analysis of a mobile robot trajectories computed by various ROS-based SLAM systems. For this reason we developed a prototype of a mobile robot with common sensors: 2D lidar, a monocular and ZED stereo cameras. Then we conducted experiments in a typical office environment and…
Viola Noeske, Emre Caglayan, Steffen Lemke
Epithelial monolayers are a hallmark of the architecture of metazoan tissues: they provide stability, serve as barriers, and fold into organs. Epithelial cells vary in shape, ranging from flat and spread out to tall and slim. Dynamic epithelial shape changes have been explored in the context of tissue folding, where…
Dinar Sharafutdinov, Mark Griguletskii, Pavel Kopanev, Mikhail Kurenkov + 4 more
'Mikhail Kurenkov' 'Gonzalo Ferrer' 'А. F. Burkov' 'Aleksei Gonnochenko' 'Dzmitry Tsetserukou'] Abstract Simultaneous localization and mapping (SLAM) is one of the fundamental areas of research in robotics and environment reconstruction. State-ofthe-art solutions have advanced significantly in terms of mapping quality…
Dan Zhao, Lu Zhang, Yang Yang
Both acute and chronic stress have significant impact on brain functions. The amygdala is essential in mediating stress responses, but how its transcriptomic dynamics change under stress remains elusive. To overcome the difficulties in detecting subtle stress-induced changes by evaluating total RNA using classic RNA…
Osman Kaan Karagoz, Aysegul Kilic, Emin Yusuf Aydin, Mustafa Mert Ankarali + 1 more
Animals use active sensing movements to shape the spatiotemporal characteristics of sensory signals to better perceive their environment under varying conditions. However, the underlying mechanisms governing the generation of active sensing movements are not known. To address this, we investigated the role of active…
Yannick Ureel, Maarten R. Dobbelaere, Yi Ouyang, Kevin De Ras + 3 more
By combining machine learning with design of experiments, so-called active machine learning, more efficient and cheaper research can be conducted. Machine learning algorithms are more flexible, and are better at investigating the processes spanning all length scales of chemical engineering. While the active machine…
Francesco Mannella, Federico Maggiore, Manuel Baltieri, Giovanni Pezzulo
Rodents use whisking to probe actively their environment and to locate objects in space, hence providing a paradigmatic biological example of active sensing. Numerous studies show that the control of whisking has anticipatory aspects. For example, rodents target their whisker protraction to the distance at which they…
Authors not listed
Machine olfaction—the artificial replication of the sense of smell—faces significant challenges due to the absence of large, standardized training datasets. Unlike vision, language, and audio models, which benefit from extensive corpora such as ImageNet, GLUE, and AudioSet, olfaction lacks scaled equivalents and…