Multimodal Bin Picking System with Compliant Tactile Sensor Arrays for Flexible Part Handling

This paper presents a robot control architecture comprised of tactile and vision sensors incorporated into an off-the-shelf bin picking system. The proposed architecture facilitates flexible and reliable handling of objects and materials by employing a tactile grasp validation system and in-hand obj...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Proceedings - IEEE International Conference on Robotics and Automation S. 2824 - 2830
Hauptverfasser: Muller, Veit, Elkmann, Norbert
Format: Tagungsbericht
Sprache:Englisch
Veröffentlicht: IEEE 01.05.2019
Schlagworte:
Grasping
Grippers
Monitoring
Pose estimation
Sensor arrays
Tactile sensors
ISSN:2577-087X
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
Beschreibung
Zusammenfassung:This paper presents a robot control architecture comprised of tactile and vision sensors incorporated into an off-the-shelf bin picking system. The proposed architecture facilitates flexible and reliable handling of objects and materials by employing a tactile grasp validation system and in-hand object monitoring. Two industrial grippers, specifically a magnetic gripper and a flexible vacuum gripper, are equipped with a compliant custom tactile sensor array. The algorithms used are for each specific gripper and respective sensor, however are transferrable to other grippers as well. The tactile sensing augments vision-based picking approaches, thus supporting in-hand object recognition [1] that is particularly useful for hard-to-recognize objects such as objects with transparent or shiny surfaces. Algorithms for tactile-based object pose estimation in the gripper and for grasp monitoring, including grasp validation, complete the approach.
ISSN:2577-087X
DOI:10.1109/ICRA.2019.8793950