1 citations · 1 across the 2 of their papers we have counts for
3 papers
cs.CV2026
Physico-Geospatial Grounded Scene Interpretation for Mobile Robotics
Nicolas Schuler, Janik Kurtz, Lea Dewald +3
Recent advancements in deep learning allow robotic agents to interact with dynamic and unstructured environments. Of special interest is the integration of physico-geospatial world…
cs.CV2025★ 1 cited
From the Laboratory to Real-World Application: Evaluating Zero-Shot Scene Interpretation on Edge Devices for Mobile Robotics
Nicolas Schuler, Lea Dewald, Nick Baldig +1
Video Understanding, Scene Interpretation and Commonsense Reasoning are highly challenging tasks enabling the interpretation of visual information, allowing agents to perceive, int…
cs.CV2025
Keeping it Local, Tiny and Real: Automated Report Generation on Edge Computing Devices for Mechatronic-Based Cognitive Systems
Nicolas Schuler, Lea Dewald, Jürgen Graf
Recent advancements in Deep Learning enable hardware-based cognitive systems, that is, mechatronic systems in general and robotics in particular with integrated Artificial Intellig…