1 citations · 1 across the 3 of their papers we have counts for
4 papers
DISC: Dense Integrated Semantic Context for Large-Scale Open-Set Semantic Mapping
Felix Igelbrink, Lennart Niecksch, Martin Atzmueller +1
Open-set semantic mapping enables language-driven robotic perception, but current instance-centric approaches are bottlenecked by context-depriving and computationally expensive cr…
Learning Contact Dynamics through Touching: Action-conditional Graph Neural Networks for Robotic Peg Insertion
Zongyao Yi, Joachim Hertzberg, Martin Atzmueller
We present a learnable physics-based predictive model that provides accurate motion and force-torque prediction of the robot end effector in contact-rich manipulation. The proposed…
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…