Irmak Güzey — accepted AI-conference papers

2025

Bridging the Human to Robot Dexterity Gap Through Object-Oriented Rewards

Irmak Güzey, Yinlong Dai, Georgy Savva, Raunaq M. Bhirangi, Lerrel Pinto

ICRA 2025

Training robots directly from human videos is an emerging area in robotics and computer vision. While there has been notable progress with two-fingered grippers, learning autonomous tasks without teleoperation remains a difficult problem for multi-fingered robot hands. A key reason for this difficul

Cited by 26 Source ↗code ↗Scholar ↗

2023

Holo-Dex: Teaching Dexterity with Immersive Mixed Reality

Sridhar Pandian Arunachalam, Irmak Güzey, Soumith Chintala, Lerrel Pinto

ICRA 2023poster

A fundamental challenge in teaching robots is to provide an effective interface for human teachers to demonstrate useful skills to a robot. This challenge is exacerbated in dexterous manipulation, where teaching high-dimensional, contact-rich behaviors often require esoteric teleoperation tools. In…

Cited by 71 Source ↗code ↗Scholar ↗