Friedrich Graaf — accepted AI-conference papers

2025

Interactive Fine-grained Few-shot Detection of Tools*

Philip Keller, Leon Strecker, Felix Durchdewald, Friedrich Graaf, Tristan Schnell, Rüdiger Dillmann

IROS 2025

Few-shot object detection is especially interesting for applications with mobile robots and becomes even more challenging when task-related classes are very similar. This work focuses on such a scenario: detecting different types of household and industrial tools. Such tools can be rare and specific

Cited by 0 Source ↗Scholar ↗

2023

A Trajectory Planner For Mobile Robots Steering Non-Holonomic Wheelchairs In Dynamic Environments

Martin Schulze, Friedrich Graaf, Lea Steffen, Arne Roennau, Rüdiger Dillmann

ICRA 2023poster

Motion planning for mobile robot platforms is one of the long-established research fields in robotics. In this paper, we propose a trajectory planner for mobile holonomic robots to steer non-holonomic conventional passive wheelchairs in dynamic environments. The challenges to overcome when steering…

Cited by 6 Source ↗Scholar ↗