3 papers
cs.RO2025
AVOID-JACK: Avoidance of Jackknifing for Swarms of Long Heavy Articulated Vehicles
Adrian Schönnagel, Michael Dubé, Christoph Steup +2
This paper presents a novel approach to avoiding jackknifing and mutual collisions in Heavy Articulated Vehicles (HAVs) by leveraging decentralized swarm intelligence. In contrast…
cs.RO2025
The Road to Learning Explainable Inverse Kinematic Models: Graph Neural Networks as Inductive Bias for Symbolic Regression
Pravin Pandey, Julia Reuter, Christoph Steup +1
This paper shows how a Graph Neural Network (GNN) can be used to learn an Inverse Kinematics (IK) based on an automatically generated dataset. The generated Inverse Kinematics is g…
cs.CV2018
A Robot Localization Framework Using CNNs for Object Detection and Pose Estimation
Lukas Hoyer, Christoph Steup, Sanaz Mostaghim
External localization is an essential part for the indoor operation of small or cost-efficient robots, as they are used, for example, in swarm robotics. We introduce a two-stage lo…