21 papers · ranked by Valyu relevance
Jun Qian, Bin Zi, Daoming Wang, Yangang Ma + 1 more
In order to transport materials flexibly and smoothly in a tight plant environment, an omni-directional mobile robot based on four Mecanum wheels was designed. The mechanical system of the mobile robot is made up of three separable layers so as to simplify its combination and reorganization. Each modularized wheel was…
Cili Zuo, Demin Xie, Lianghong Wu, Xiaolong Tang + 3 more
'Bingbing Gao' 'Gaoge Hu'] Regarding the issue of high dependency on odometry in the adaptive Monte Carlo localization (AMCL) algorithm, an improved AMCL algorithm based on the normal distributions transform (NDT) and extended Kalman filter (EKF) is proposed. A virtual motion model is introduced into the AMCL framework…
Sagarnil Das
algorithm Authors: ['Sagarnil Das'] Abstract—Localization is the challenge of determining the robot's pose in a mapped environment. This is done by implementing a probabilistic algorithm to filter noisy sensor measurements and track the robot's position and orientation. This paper focuses on localizing a robot in a…
Yu Liu, Shuting Wang, Yuanlong Xie, Tifan Xiong + 2 more
As a fundamental issue in robotics academia and industry, indoor autonomous mobile robots (AMRs) have been extensively studied. For AMRs, it is crucial to obtain information about their working environment and themselves, which can be realized through sensors and the extraction of corresponding information from the…
Sam Safavi, Usman A. Khan
—In this paper, we develop a distributed algorithm to localize a network of robots moving arbitrarily in a bounded region. In the case of such mobile networks, the main challenge is that the robots may not be able to find nearby robots to implement a distributed algorithm. We address this issue by providing an…
Juan Diego Peña-Narvaez, Francisco Martín, José Miguel Guerrero, Rodrigo Pérez-Rodríguez
'Rodrigo Pérez-Rodríguez'] Navigating robots with precision in complex environments remains a significant challenge. In this article, we present an innovative approach to enhance robot localization in dynamic and intricate spaces like homes and offices. We leverage Visual Question Answering (VQA) techniques to…
Jae Hong Shim, Young Im Cho, Eric T. Matson, Byung-Cheol Min + 1 more
'Donghan Kim'] Localization, which is a technique required by service robots to operate indoors, has been studied in various ways. Most localization techniques have the robot measure environmental information to obtain location information; however, this is a high-cost option because it uses extensive equipment and…
Athanasios Lentzas, Dimitris Vrakas
Localization is a crucial task for autonomous mobile robots in order to successfully move to goal locations in their environment. Usually, this is done in a robot-centric manner, where the robot maintains a map with its body in the center. In swarm robotics applications, where a group of robots needs to coordinate in…
Mengyuan Duan, Xiaokang Lei, Zhongxing Duan, Zhicheng Zheng + 6 more
'Shuai Li' 'Dechao Chen' 'Vasilios N. Katsikis' 'Predrag S. Stanimirovic' 'Dunhui Xiao' 'Mohammed Aquil Mirza'] When performing indoor tasks, miniature swarm robots are suffered from their small size, poor on-board computing power, and electromagnetic shielding of buildings, which means that some traditional…
Mohammadali Rashidioun, Michael Sosa, Petras Swissler
Accurate localization remains a key challenge in swarm robotics, particularly for self-reconfigurable systems that must identify relative positions to form diverse structures. Most existing approaches rely on external tracking infrastructure or high-cost sensors, which limit scalability and deployment in unstructured…
Samet Güler, Mohamed Abdelkader, Jeff S. Shamma
—Robots in a swarm take advantage of a motion capture system or GPS sensors to obtain their global position. However, motion capture systems are environment-dependent and GPS sensors are not reliable in occluded environments. For a reliable and versatile operation in a swarm, robots must sense each other and interact…
Yanan Liu, Rui Fan, Bin Yu, Mohammud Junaid Bocus + 4 more
'Hepeng Ni' 'Jiahe Fan' 'Shixin Mao'] Abstract— Mobile robots are becoming increasingly important both for individuals and industries. Mobile robotic technology is not only utilised by experts in this field but is also very popular among amateurs. However, implementing a mobile robot to perform tasks autonomously can…
Hui Shi, Jianyu Yang, Jiashun Shi, Lida Zhu + 2 more
'José Luis Lázaro-Galilea'] Among the numerous indoor localization methods, Light-Detection-and-Ranging (LiDAR)-based probabilistic algorithms have been extensively applied to indoor localization due to their real-time performance and high accuracy. Nevertheless, these methods are challenged in symmetrical environments…
Neta Shvil, Noa Gozin, Anton Sheinin, Omer Yuval + 3 more
The detection, identification and localization of volatile compounds are of critical importance for various applications, ranging from gas leak detection to drug and explosive sensing. Current technologies—such as gas chromatography–mass spectrometry and e-noses—are limited by slow analysis, low mobility, and reduced…
Denise Y.P. Henriques, Bernard Marius ’t Hart
How do precision of movement and proprioception influence motor control and adaptation? Several theories—such as the exploration-exploitation hypothesis—propose that variability plays a key role in motor performance and learning. However, empirical measures of motor and proprioceptive precision are often limited by…
Authors not listed
Process chemistry creates scalable routes for new lead molecules and is a crucial but laborious stage in pharmaceutical and agrochemical development cycles. We have built an automated process chemistry platform that tackles late-stage process development. The modular workflow integrates both industry-standard tools and…
Denise Y.P. Henriques, Raphael Q. Gastrock, Bernard Marius ’t Hart
How do precision of movement and proprioception influence motor control and adaptation? Several theories—such as the exploration-exploitation hypothesis—propose that variability plays a key role in motor performance and learning. However, empirical measures of motor and proprioceptive precision are often limited by…
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…
Authors not listed
The development of polymer materials for real-world applications requires careful assessment of material degradation over time and under environmental exposure. Such tests often necessitate frequent monitoring of test specimens, which can become burdensome for researchers. In this study, we present the application of a…
Ahmed A. Mostafa, Bernard Marius’t Hart, Denise Y.P. Henriques
An accurate estimate of limb position is necessary for movement planning. Where we localize our unseen hand after a reach depends on felt hand position, or proprioception, but this is usually neglected in favour of predicted sensory consequences based on efference copies of motor commands. Both sources of information…
Heeseung Lee, Daeho Kim, Heyin Lee, Namyoung Gwak + 6 more
- 1. Computational Science Research Center, Korea Institute of Science and Technology, Seoul 02792, Republic of Korea - 2. Department of Materials Science and Engineering, Korea University, 145 Anam-ro, Seoul 02841, Republic of Korea - 3. Department of Chemical and Biological Engineering, Korea University, Seoul 02841…