24 citations · 45 across the 18 of their papers we have counts for
3 papers · 1 filter
Placing by Touching: An empirical study on the importance of tactile sensing for precise object placing
Luca Lach, Niklas Funk, Robert Haschke +4
This work deals with a practical everyday problem: stable object placement on flat surfaces starting from unknown initial poses. Common object-placing approaches require either com…
SE(3)-DiffusionFields: Learning smooth cost functions for joint grasp and motion optimization through diffusion
Julen Urain, Niklas Funk, Jan Peters +1
Multi-objective optimization problems are ubiquitous in robotics, e.g., the optimization of a robot manipulation task requires a joint consideration of grasp pose configurations, c…
Graph-based Reinforcement Learning meets Mixed Integer Programs: An application to 3D robot assembly discovery
Niklas Funk, Svenja Menzenbach, Georgia Chalvatzaki +1
Robot assembly discovery is a challenging problem that lives at the intersection of resource allocation and motion planning. The goal is to combine a predefined set of objects to f…