1 citations · 1 across the 5 of their papers we have counts for
5 papers
A Scene Graph Backed Approach to Open Set Semantic Mapping
Martin Günther, Felix Igelbrink, Oscar Lima +3
While Open Set Semantic Mapping and 3D Semantic Scene Graphs (3DSSGs) are established paradigms in robotic perception, deploying them effectively to support high-level reasoning in…
LIEREx: Language-Image Embeddings for Robotic Exploration
Felix Igelbrink, Lennart Niecksch, Marian Renz +2
Semantic maps allow a robot to reason about its surroundings to fulfill tasks such as navigating known environments, finding specific objects, and exploring unmapped areas. Traditi…
ExPrIS: Knowledge-Level Expectations as Priors for Object Interpretation from Sensor Data
Marian Renz, Martin Günther, Felix Igelbrink +2
While deep learning has significantly advanced robotic object recognition, purely data-driven approaches often lack semantic consistency and fail to leverage valuable, pre-existing…
Uncertainty-Resilient Active Intention Recognition for Robotic Assistants
Juan Carlos Saborío, Marc Vinci, Oscar Lima +6
Purposeful behavior in robotic assistants requires the integration of multiple components and technological advances. Often, the problem is reduced to recognizing explicit prompts,…
Online Knowledge Integration for 3D Semantic Mapping: A Survey
Felix Igelbrink, Marian Renz, Martin Günther +5
Semantic mapping is a key component of robots operating in and interacting with objects in structured environments. Traditionally, geometric and knowledge representations within a…