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Andreas Geier

4 accepted papers

2020

End-to-End Tactile Feedback Loop: From Soft Sensor Skin Over Deep GRU-Autoencoders to Tactile Stimulation

RA-L 2020

Tactile feedback is a key sensory channel that contributes to our ability to perform precise manipulations. In this regard, sensor skin provides robots with the sense of touch making them increasingly capable of dexterous object manipulation. However, in applications like teleoperation, the complex

Cited by 4SourceScholar
2019

Morphology-Specific Convolutional Neural Networks for Tactile Object Recognition with a Multi-Fingered Hand

ICRA 2019poster

Distributed tactile sensors on multi-fingered hands can provide high-dimensional information for grasping objects, but it is not clear how to optimally process such abundant tactile information. The current paper explores the possibility of using a morphology-specific convolutional neural network (M…

Cited by 36SourceScholar
2019

Sequential clustering for tactile image compression to enable direct adaptive feedback

IROS 2019poster

The sense of touch is often crucial for humans to perform manipulation tasks. Providing tactile feedback during teleoperation or for users of prosthetic devices would be beneficial. However, the representation of tactile information constitutes a major technical challenge, since the numerous and pos…

Cited by 1SourceScholar
2018

Object Recognition Through Active Sensing Using a Multi-Fingered Robot Hand with 3D Tactile Sensors

IROS 2018poster

This paper investigates tactile object recognition with relatively densely distributed force vector measurements and evaluates what kind of tactile information is beneficial for object recognition. The uSkin tactile sensors are embedded in an Allegro Hand, and provide 240 triaxial force vector measu…

Cited by 57SourceScholar