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6 papers · 2 filters
Robust Adaptive Backstepping Impedance Control of Robots in Unknown Environments
Reza Nazmara, Alap Kshirsagar, Jan Peters +1
This paper presents a Robust Adaptive Backstepping Impedance Control (RABIC) strategy for robots operating in contact-rich and uncertain environments. The proposed control strategy…
Sustainable Transfer Learning for Adaptive Robot Skills
Khalil Abuibaid, Vinit Hegiste, Nigora Gafur +2
Learning robot skills from scratch is often time-consuming, while reusing data promotes sustainability and improves sample efficiency. This study investigates policy transfer acros…
GSeg3D: A High-Precision Grid-Based Algorithm for Safety-Critical Ground Segmentation in LiDAR Point Clouds
Muhammad Haider Khan Lodhi, Christoph Hertzberg
Ground segmentation in point cloud data is the process of separating ground points from non-ground points. This task is fundamental for perception in autonomous driving and robotic…
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…
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…