Results 121 to 130 of about 2,236,896 (335)
Grounding Large Language Models for Robot Task Planning Using Closed‐Loop State Feedback
Advanced Robotics Research, EarlyView.BrainBody‐Large Language Model (LLM) introduces a hierarchical, feedback‐driven planning framework where two LLMs coordinate high‐level reasoning and low‐level control for robotic tasks. By grounding decisions in real‐time state feedback, it reduces hallucinations and improves task reliability.
Vineet Bhat +4 more
wiley +1 more source
Efficient Object-Oriented Semantic Mapping With Object Detector
IEEE Access, 2019 Incrementally, building a 3D map in which object instances are semantically annotated has a wide range of applications, including scene understanding, human–robot interactions, and simultaneous localization and mapping extensions.
Yoshikatsu Nakajima, Hideo Saito
semanticscholar +1 more source
How Conceptual Are Semantic Maps?
Linguistic Discovery, 2010 The question addressed in this paper is whether (and to what extent) a semantic map aimed at representing the multifunctionality of a given construction (or set of constructions) in discourse can be thought of as endowed with conceptual reality. To be considered as a mental representa-tion that is essentially similar in all human brains, such a map ...
openaire +5 more sources
Advanced Robotics Research, EarlyView.Visual teach‐and‐repeat (VTR) navigation allows robots to learn and follow routes without building a full metric map. We show that navigation accuracy for VTR can be improved by integrating a topological map with error‐drift correction based on stereo vision.
Fuhai Ling, Ze Huang, Tony J. Prescott
wiley +1 more source
Data mapping process to handle semantic data problem on student grading system
IJAIN (International Journal of Advances in Intelligent Informatics), 2016 Many applications are developed on education domain. Information and data for each application are stored in distributed locations with different data representations on each database.
Arda Yunianta +5 more
doaj +1 more source
Continual Learning for Multimodal Data Fusion of a Soft Gripper
Advanced Robotics Research, EarlyView.Models trained on a single data modality often struggle to generalize when exposed to a different modality. This work introduces a continual learning algorithm capable of incrementally learning different data modalities by leveraging both class‐incremental and domain‐incremental learning scenarios in an artificial environment where labeled data is ...
Nilay Kushawaha, Egidio Falotico
wiley +1 more source
Context-aware robot navigation using interactively built semantic maps
Paladyn, 2018 We discuss the process of building semantic maps, how to interactively label entities in them, and how to use them to enable context-aware navigation behaviors in human environments.
Cosgun Akansel, Christensen Henrik I.
doaj +1 more source
Semantic Map Geometry: Two Approaches
Linguistic Discovery, 2010 This paper discusses two ways in which the geometry of a semantic map can be defined: on the basis of a set of cross-linguistic data or on the basis of a semantic analysis of the meanings involved. I will argue that under a purely ?data-driven? approach certain important aspects of contiguity in semantic maps, like exceptions and family resemblance ...
openaire +5 more sources
Advanced Sustainable Systems, EarlyView.Nanosafety data provide a guiding example for establishing best practices in data management, aligning with FAIR principles and quality criteria. This review explores existing quality assessment approaches for reliability, relevance, and completeness, emphasizing the need for harmonization and adaptation to nanomaterials and advanced materials. The aim
Verónica I. Dumit +43 more
wiley +1 more source
Terrain-aware semantic mapping for cooperative subterranean exploration. [PDF]
Front Robot AI, 2023 Miles MJ, Biggie H, Heckman C.
europepmc +1 more source