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Yannick Jonetzko

3 accepted papers

2024

State Estimation of an Adaptive 3-Finger Gripper using Recurrent Neural Networks

IROS 2024poster

Adaptive grippers enable easy and robust grasping of diverse objects by adapting to their shapes and enclosing them. However, determining the exact state of the hand remains challenging. This is not always straightforward but is often necessary to assess grip success, quality, or the pose of the obj…

Cited by 0SourceScholar
2021

A Low-Cost Modular System of Customizable, Versatile, and Flexible Tactile Sensor Arrays

IROS 2021poster

The key role of tactile sensing for human grasping and manipulation is widely acknowledged, but most industrial robot grippers and even multi-fingered hands are still designed and used without any tactile sensors. While the basic design principles for resistive or capacitive sensors are well known,…

Cited by 11SourceScholar
2018

Comparison of Multimodal Heading and Pointing Gestures for Co-Located Mixed Reality Human-Robot Interaction

IROS 2018poster

Mixed reality (MR)opens up new vistas for human-robot interaction (HRI)scenarios in which a human operator can control and collaborate with co-located robots. For instance, when using a see-through head-mounted-display (HMD)such as the Microsoft HoloLens, the operator can see the real robots and add…

Cited by 90SourceScholar