2 citations · 2 across the 3 of their papers we have counts for
3 papers
Interpretable Affordance Detection on 3D Point Clouds with Probabilistic Prototypes
Maximilian Xiling Li, Korbinian Rudolf, Nils Blank +1
Robotic agents need to understand how to interact with objects in their environment, both autonomously and during human-robot interactions. Affordance detection on 3D point clouds,…
Use the Force, Bot! -- Force-Aware ProDMP with Event-Based Replanning
Paul Werner Lödige, Maximilian Xiling Li, Rudolf Lioutikov
Movement Primitives (MPs) are a well-established method for representing and generating modular robot trajectories. This work presents FA-ProDMP, a new approach which introduces fo…
Optimal ablation for interpretability
Maximilian Li, Lucas Janson
Interpretability studies often involve tracing the flow of information through machine learning models to identify specific model components that perform relevant computations for…