Publikation
Analysing the Interplay of Vision and Touch for Dexterous Insertion Tasks
J. Lenz; T. Gruner; D. Palenicek; T. Schneider; I. Pfenning; Jan Peters
In: CoRL 2024 Workshop on Learning Robot Fine and Dexterous Manipulation: Perception and Control. Conference on Robot Learning (CoRL-2024), CoRL, 2024.
Zusammenfassung
Robotic insertion tasks remain challenging due to uncertainties in perception and the need for precise control, particularly in unstructured environments.
While humans seamlessly combine vision and touch for such tasks, effectively integrating these modalities in robotic systems is still an open problem. Our work
presents an extensive analysis of the interplay between visual and tactile feedback
during dexterous insertion tasks, showing that tactile sensing can greatly enhance
success rates on challenging insertions with tight tolerances and varied hole orientations that vision alone cannot solve. These findings provide valuable insights
for designing more effective multi-modal robotic control systems and highlight
the critical role of tactile feedback in contact-rich manipulation tasks.