1 citations · 1 across the 5 of their papers we have counts for
5 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…
Agentic AI for Robot Control: Flexible but still Fragile
Oscar Lima, Marc Vinci, Martin Günther +10
Recent work leverages the capabilities and commonsense priors of generative models for robot control. In this paper, we present an agentic control system in which a reasoning-capab…
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 model that predicts motion of the robot end effector and reaction force-torque in contact-rich manipulation. The model represents the end effec…
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…