9 citations · 28 across the 23 of their papers we have counts for
5 papers · 1 filter
ROS2SmolVLA: Enabling Small Vision-Language-Action Models for Integration into Industrial-Grade Lightweight Robots
Nils Mandischer, Noah Böckmann, Ludwig Holl +1
Industrial demand changes the paradigms of production. Due to smaller batch sizes and more variations in products, companies face a growing challenge to adopt more adaptive product…
Beyond Features: How Dataset Design Influences Multi-Agent Trajectory Prediction Performance
Tobias Demmler, Jakob Häringer, Andreas Tamke +3
Accurate trajectory prediction is critical for safe autonomous navigation, yet the impact of dataset design on model performance remains understudied. This work systematically exam…
Dynamic Intent Queries for Motion Transformer-based Trajectory Prediction
Tobias Demmler, Lennart Hartung, Andreas Tamke +4
In autonomous driving, accurately predicting the movements of other traffic participants is crucial, as it significantly influences a vehicle's planning processes. Modern trajector…
Exploring Capability-Based Control Distributions of Human-Robot Teams Through Capability Deltas: Formalization and Implications
Nils Mandischer, Marcel Usai, Frank Flemisch +1
The implicit assumption that human and autonomous agents have certain capabilities is omnipresent in modern teaming concepts. However, none formalize these capabilities in a flexib…
Towards Consistent and Explainable Motion Prediction using Heterogeneous Graph Attention
Tobias Demmler, Andreas Tamke, Thao Dang +2
In autonomous driving, accurately interpreting the movements of other road users and leveraging this knowledge to forecast future trajectories is crucial. This is typically achieve…