22 papers · ranked by Valyu relevance
Ro'i Lang, Elon Rimon
This technical report presents the construction and analysis of polynomial navigation functions for motion planning in 3-D workspaces populated by spherical and cylindrical obstacles. The workspace is modeled as a bounded spherical region, and obstacles are encoded using smooth polynomial implicit functions. We…
David W. Arathorn
This paper proposes an explicit computational process which reproduces what are considered to be two essential experimentally observed hippocampus capabilities. These are path planning and determining the chain of ordered relationships which bind two concepts. These are both inverse problems. The paper presents…
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…
Matin Macktoobian, Guillaume Ferdinand Duc
In this paper, we introduce a new class of potential fields, i.e., meta navigation functions (MNFs) to coordinate multiagent systems. Thanks to the MNF formulation, agents can contribute to each other's coordination via partial and/or total associations, contrary to traditional decentralized navigation functions…
Rui Bao, Shijie Chang, Ruixiang Liu, Yunning Wang + 1 more
Visuospatial function is a critical aspect of cognitive abilities, encompassing visual perception, attention, memory, and adaptive responses to spatial changes. This paper reviews studies on human visuospatial function, spatial navigation, and factors contributing to visuospatial impairments. After introducing…
Mobina Zibandehpoor, Fatemeh Alizadehziri, Arash Abbasi Larki, Sobhan Teymouri + 1 more
in Healthy Participants Authors: ['Mobina Zibandehpoor' 'Fatemeh Alizadehziri' 'Arash Abbasi Larki' 'Sobhan Teymouri' 'Mehdi Delrobaei'] In the quest for understanding human executive function, eye movements represent a unique insight into how we process and comprehend our environment. Eye movements reveal patterns in…
Xiaohui Zhang, Wenqi Bai, Jun Liu, Songnan Yang + 3 more
'Haolin Liu' 'Xiyuan Chen'] Geospatial navigation in GPS-denied environments presents significant challenges, particularly for autonomous vehicles operating in complex, unmapped regions. We explore the Earth’s geomagnetic field, a globally distributed and naturally occurring resource, as a reliable alternative for…
Jumman Hossain, Abu-Zaher Faridee, Derrik E. Asher, Jade Freeman + 3 more
Quasimetric Reinforcement Learning Authors: ['Jumman Hossain' 'Abu-Zaher Faridee' 'Derrik E. Asher' 'Jade Freeman' 'Theron Trout' 'Timothy Gregory' 'Nirmalya Roy'] Abstract—Autonomous navigation in unstructured outdoor environments is inherently challenging due to the presence of asymmetric traversal costs, such as…
Huajie Xiong, Baoguo Yu, Qingwu Yi, Chenglong He
Unmanned aerial vehicle (UAV) collaboration has become the main means of indoor and outdoor regional search, railway patrol, and other tasks, and navigation planning is one of the key, albeit difficult, technologies. The purpose of UAV navigation planning is to plan reasonable trajectories for UAVs to avoid obstacles…
Oscar Guerrero Rosado, Adrián F. Amil, Ismael T. Freire, Martin Vinck + 1 more
The mammalian hippocampal formation plays a critical role in efficient and flexible navigation. Hippocampal place cells exhibit spatial tuning, characterized by increased firing rates when an animal occupies specific locations in its environment. However, the mechanisms underlying the encoding of spatial information by…
Shyr-Long Jeng, Chienhsun Chiang, Araceli Sanchis de Miguel, Agapito Ledezma Espino
'Agapito Ledezma Espino'] An end-to-end approach to autonomous navigation that is based on deep reinforcement learning (DRL) with a survival penalty function is proposed in this paper. Two actor-critic (AC) frameworks, namely, deep deterministic policy gradient (DDPG) and twin-delayed DDPG (TD3), are employed to enable…
Ziwei Wei, Thomas Wolbers, Xiaoli Chen
A central question in cognitive neuroscience is how the brain integrates distinct sensory and perceptual inputs to improve cognitive performance. This study investigated this question in the context of human spatial navigation by combining high-field 3T fMRI and desktop virtual reality. Participants encoded and…
Krzysztof Czaplewski, Bartosz Czaplewski, Chris Rizos
The diversity and non-uniformity of the positioning systems available in maritime navigation systems often impede the watchkeeping officer in the selection of the appropriate positioning system, in particular, in restricted basins. Thus, it is necessary to introduce a mathematical apparatus to suggest, in an automated…
Apurv Varshney, Lily M. Turkstra, Jiaxin Su, Mable Zhou + 4 more
Navigation aids are central to immersive virtual reality (VR) experiences that involve physical locomotion. Their effectiveness depends not only on how much spatial information they provide, but also on how directly that information supports movement decisions. We compared three common guidance techniques for immersive…
T. M. Hodgson, S. T. Johnston, M. Ottobre, K. J. Painter
The phenomenon of collective navigation has received considerable interest in recent years. A common line of thinking, backed by theoretical studies, is that collective navigation can improve navigation efficiency through the ‘many-wrongs’ principle, whereby individual error is reduced by comparing the headings of…
Jonas Scherer, Martin M. Müller, Patrick Unterbrink, Sina Meier + 3 more
Our brain combines sensory inputs from various sources by dynamically weighting cues according to their reliability and relevance for a given task. In our daily lives, one such task is to navigate familiar but also unknown environments, as we move from place to place. Two pertinent cues in navigation are the spatial…
Fernanda I. Saldívar-González, José L. Medina-Franco
Chemical space is a powerful, general, and practical conceptual framework in drug discovery and other areas in chemistry that addresses the diversity of molecules and it has various applications. Moreover, chemical space is a cornerstone of chemoinformatics as a scientific discipline. In response to the increase in the…
Alan Lindsay, Andrés A. Ramírez-Duque, Bart Craenen, David A. Robb + 4 more
The task of supporting a human operator to understand generated plans, and to explore the plan space, are important problems in automated planning. In this work, we consider the problem of plan explainability and plan space exploration in underwater autonomous vehicle missions. In this context, concepts that are useful…
Emre Yavuz, Chuanxiuyue He, Sarah Goodroe, Chris Ganstrom + 4 more
Recent evidence suggests that greater reliance on GPS-assisted devices is associated with poorer navigation ability. Contrastingly, studies have shown that video gaming can enhance navigation ability. While gender differences in navigation ability in favour of men are well-reported, it remains unclear if the effects of…
Mobina Shahbandeh, Parsa Alian, Noor Nashid, Ali Mesbah
End-to-end web testing is challenging due to the need to explore diverse web application functionalities. Current state-of-the-art methods, such as WebCanvas, are not designed for broad functionality exploration; they rely on specific, detailed task descriptions, limiting their adaptability in dynamic web environments.…
Tanya Garg, Pablo Fernández Velasco, Zita Eva Patai, Charlotte P. Malcolm + 6 more
Spatial navigation is a multi-faceted behaviour drawing on many different aspects of cognition. Visuospatial abilities, such as spatial working memory and mental rotation, in particular, may be key factors. A range of tests have been developed to assess visuospatial processing and memory, but how such tests relate to…
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…