26 papers · ranked by Valyu relevance
Alicia Mora, Adrian Prados, Alberto Mendez, Ramon Barber + 2 more
'Santiago Garrido' 'Jordi Palacín Roca'] Mobile robot navigation has been studied for a long time, and it is nowadays widely used in multiple applications. However, it is traditionally focused on two-dimensional geometric characteristics of the environments. There are situations in which robots need to share space with…
Ahmed Neaz, Sunyeop Lee, Kanghyun Nam, Yuanlong Xie + 2 more
The integration of intelligent robots in industrial production processes has the potential to significantly enhance efficiency and reduce human adversity. However, for such robots to effectively operate within human environments, it is critical that they possess an adequate understanding of their surroundings and are…
Tyrone Sherwin, Mikala Easte, Andrew Tzer-Yeu Chen, Kevin I-Kai Wang + 1 more
'Wenbin Dai'] Location-aware services are one of the key elements of modern intelligent applications. Numerous real-world applications such as factory automation, indoor delivery, and even search and rescue scenarios require autonomous robots to have the ability to navigate in an unknown environment and reach mobile…
Akansel Cosgun
We present the concept of speed maps: speed limits for mobile robots in human environments. Static speed maps allow for faster navigation on corridors while limiting the speed around corners and in rooms. Dynamic speed maps put limits on speed around humans. We demonstrate the concept for a mobile robot that guides…
Saleem Alzoubi, Mahdi H. Miraz
Enhancing robot navigation efficiency is a crucial objective in modern robotics. Robots relying on external navigation systems are often susceptible to electromagnetic interference (EMI) and encounter environmental disturbances, resulting in orientation errors within their surroundings. Therefore, the study employed an…
Saeid Nahavandi, Roohallah Alizadehsani, Darius Nahavandi, Shady Mohamed + 3 more
'Shady Mohamed' 'Navid Mohajer' 'Mohammad Rokonuzzaman' 'Ibrahim Hossain'] The field of autonomous mobile robots has undergone dramatic advancements over the past decades. Despite achieving important milestones, several challenges are yet to be addressed. Aggregating the achievements of the robotic community as survey…
Elizabeth López-Lozada, Elsa Rubio-Espino, J. Humberto Sossa-Azuela, Victor H. Ponce-Ponce + 1 more
'Victor H. Ponce-Ponce' 'Alma Y. Alanis'] Robot navigation allows mobile robots to navigate among obstacles without hitting them and reaching the specified goal point. In addition to preventing collisions, it is also essential for mobile robots to sense and maintain an appropriate battery power level at all times to…
Mengyuan Chen, Yongjian Wu, Hongmei He
In this paper, we developed a new navigation system, which detects obstacles in a sliding window with an adaptive threshold clustering algorithm, classifies the detected obstacles with a decision tree, heuristically predicts potential collision and finds optimal path with a simplified Mophin algorithm. This system has…
Kamal M. Othman, Ahmad B. Rad
In this paper, we present a navigation strategy exclusively designed for social robots with limited sensors for applications in homes. The overall system integrates a reactive design based on subsumption architecture and a knowledge system with learning capabilities. The component of the system includes several…
Hafiq Anas, Wee-Hong Ong
—This paper presents an implementation of autonomous navigation functionality based on Robot Operating System (ROS) on a wheeled differential drive mobile platform called Eddie robot. ROS is a framework that contains many reusable software stacks as well as visualization and debugging tools that provides an ideal…
Xiaojun Yu, Zeming Fan, Hao Wan, Yuye He + 4 more
With rapid advancements in artificial intelligence and mobile robots, some of the tedious yet simple jobs in modern libraries, like book accessing and returning (BAR) operations that had been fulfilled manually before, could be undertaken by robots. Due to the limited accuracies of the existing positioning and…
Steve Macenski, Tom Moore, David V. Lu, Alexey Merzlyakov
— The Robot Operating System 2 (ROS 2) is rapidly impacting the intelligent machines sector - on space missions, large agriculture equipment, multi-robot fleets, and more. Its success derives from its focused design and improved capabilities targeting product-grade and modern robotic systems. Following ROS 2's example…
Lucas Alexandre Zick, Dieisson Martinelli, André Schneider de Oliveira, Vivian Cremer Kalempa
'André Schneider de Oliveira' 'Vivian Cremer Kalempa'] Robotic teleoperation is essential for hazardous environments where human safety is at risk. However, efficient and intuitive human-machine interaction for multi-robot systems remains challenging. This article aims to demonstrate a robotic teleoperation system…
Zhi Chen, Boris Rivkin, David Castellanos-Robles, Ivan Soldatov + 2 more
Minimally invasive therapies demand precise navigation through complex and delicate anatomical pathways, requiring medical tools that are small, flexible, and highly maneuverable. Here, we present a scalable fabrication platform for magnetic tubular microrobots, tethered and untethered, with programmable magnetization…
Alexander James Becoy, Kseniia Khomenko, Luka Peternel, Raj Thilak Rajan
'Raj Thilak Rajan'] Abstract—This paper proposes a novel method of coverage path planning for the purpose of scanning an unstructured environment autonomously. The method uses the morphological skeleton of the prior 2D navigation map via SLAM to generate a sequence of points of interest (POIs). This sequence is then…
Jianguo Wang, Shiwei Lin, Ang Liu, Mingguo Zhao + 1 more
Biological principles draw attention to service robotics because of similar concepts when robots operate various tasks. Bioinspired perception is significant for robotic perception, which is inspired by animals’ awareness of the environment. This paper reviews the bioinspired perception and navigation of service robots…
Xuelong Sun, Michael Mangan, Jigen Peng, Shigang Yue
Achieving a comprehensive understanding of animal intelligence demands an integrative approach that acknowledges the interplay between an organism’s brain, body, and environment. Insects like ants, despite their limited computational resources, demonstrate remarkable abilities in navigation. Existing computational…
Joseph W. Barter, Henry H. Yin
Terrestrial locomotion presents tremendous computational challenges on account of the enormous degrees of freedom in legged animals, and the complex and unpredictable properties of the natural environment and the effectors. Yet the nervous system can achieve locomotion with ease. Here we introduce a quadrupedal robot…
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
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…
Robert Mitchell, Marie Dacke, Barbara Webb
Dung beetles can use a variety of orientation cues to maintain a consistent bearing during ball-rolling. Where several cues are available, they appear to learn the spatial relationship between them, providing redundancy if some cues are removed. Mounting evidence indicates that such a learning process is implemented in…
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…
D. Kuhner, L.D.J. Fiederer, J. Aldinger, F. Burget + 7 more
As autonomous service robots become more affordable and thus available for the general public, there is a growing need for user-friendly interfaces to control these systems. Control interfaces typically get more complicated with increasing complexity of the robotic tasks and the environment. Traditional control…
Charlotte Canteloup, Joonho Lee, Samuel Zimmermann, Morgane Alvino + 3 more
Animal-robot interaction studies have been of increasing interest in research, but most of these studies have involved robots interacting with insects, birds, and frogs in laboratory settings. To date, only two studies used non-human primates and no behavioral study has tested the social integration of a robot in a…
Authors not listed
This comprehensive review examines the evolution of autonomous materials synthesis laboratories that integrate artificial intelligence with advanced robotics to accelerate discovery. Traditional materials development pipelines typically require 10-20 years, but self-driving laboratories (SDLs) and Materials…
Naruki Yoshikawa, Kourosh Darvish, Animesh Garg, Alan Aspuru-Guzik
Self-driving laboratories promise to democratize automated chemical laboratories. Accurate liquid handling is an essential operation in the context of chemical labs, and consequently a self-driving laboratory will require a robotic liquid handling and transfer. Although many pipettes are available for human scientists…