Results 41 to 50 of about 375,937 (284)
Learning Models for Following Natural Language Directions in Unknown Environments [PDF]
, 2015 Natural language offers an intuitive and flexible means for humans to communicate with the robots that we will increasingly work alongside in our homes and workplaces.
Duvallet, Felix +5 more
core +2 more sources
On two mathematical representations for “semantic maps”
Zeitschrift für Sprachwissenschaft, 2022 We describe two mathematical representations for what have come to be called “semantic maps”, that is, representations of typological universals of linguistic co-expression with the aim of inferring similarity relations between concepts from those ...
Croft William
doaj +1 more source
NGLSFusion: Non-Use GPU Lightweight Indoor Semantic SLAM
Applied Sciences, 2023 Perception of the indoor environment is the basis of mobile robot localization, navigation, and path planning, and it is particularly important to construct semantic maps in real time using minimal resources. The existing methods are too dependent on the
Le Wan +5 more
doaj +1 more source
Localization from semantic observations via the matrix permanent [PDF]
, 2015 Most approaches to robot localization rely on low-level geometric features such as points, lines, and planes. In this paper, we use object recognition to obtain semantic information from the robot’s sensors and consider the task of localizing the robot ...
Atanasov, Nikolay +3 more
core +1 more source
Semantic RGB-D SLAM for Rescue Robot Navigation
IEEE Access, 2020 In this paper, we propose a semantic simultaneous localization and mapping (SLAM) framework for rescue robots, and report its use in navigation tasks.
Wenbang Deng +6 more
doaj +1 more source
, 2019 Cross-view image translation is challenging because it involves images with drastically different views and severe deformation. In this paper, we propose a novel approach named Multi-Channel Attention SelectionGAN (SelectionGAN) that makes it possible to
Corso, Jason J. +5 more
core +1 more source
A Computationally Efficient Semantic SLAM Solution for Dynamic Scenes
Remote Sensing, 2019 In various dynamic scenes, there are moveable objects such as pedestrians, which may challenge simultaneous localization and mapping (SLAM) algorithms. Consequently, the localization accuracy may be degraded, and a moving object may negatively impact the
Zemin Wang +4 more
doaj +1 more source
Mapping the Structure of Semantic Memory [PDF]
Cognitive Science, 2012 AbstractAggregating snippets from the semantic memories of many individuals may not yield a good map of an individual’s semantic memory. The authors analyze the structure of semantic networks that they sampled from individuals through a new snowball sampling paradigm during approximately 6 weeks of 1‐hr daily sessions.
Morais, A., Olsson, H., Schooler, L.
openaire +3 more sources
Semantic-Aware Remote Sensing Change Detection with Multi-Scale Cross-Attention
SensorsRemote sensing image change detection plays a vital role in diverse real-world applications such as urban development monitoring, disaster assessment, and land use analysis.
Xingjian Zheng +3 more
doaj +1 more source
Lexical typology through similarity semantics: Toward a semantic map of motion verbs [PDF]
, 2012 This paper discusses a multidimensional probabilistic semantic map of lexical motion verb stems based on data collected from parallel texts (viz. translations of the Gospel according to Mark) for 100 languages from all continents.
Cysouw, Michael, Wälchli, Bernhard
core +1 more source