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Founding Research
Engineer |
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Hi I am Enes! I am currently a Founding
Research Engineer at a
Stealth Robotics Startup. I am interested in robot learning and
how control theory and learning-based
approaches can be used together to solve
problems in robotics. I also like to
work on high quality software.
Previously I was a Graduate Research
Assistant at CILVR Lab, NYU, where I
worked on mobile manipulation and
tactile sensing, advised by Prof.
Lerrel Pinto.
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| Master of Science, Computer Science | Sept 2023 - May 2025 |
| New York University, Courant | New York, USA | |
| B.S. in Computer Science | Sept 2018-Jun 2023 |
| Koc University | Turkey |
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Graduate Research Assistant
CILVR, New York University | New York, USA |
Jan 2022 - Sept 2023 |
| Worked on problems in Robot Learning, Specifically in Mobile Manipulation, Imitation Learning and Tactile Sensing. Advised by Prof. Lerrel Pinto | |
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Research Scholar
EPFL VITA Lab | Lausanne, Switzerland |
Jul 2022 - Oct 2022 |
| Research on "World modeling and hierarchical planning for autonomous driving" | |
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Machine Learning Engineer
Wayve | London, UK |
Jul 2022 - Oct 2022 |
| I structured the Simulation-as-a-service for the in-house simulator to be scalable up to thousands of GPUs. I also implemented novel view synthesis simulator for closed-loop offline evaluation. | |
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Enes Erciyes, Haritheja Etukuru, Soumith Chintala, Nur Muhammad “Mahi” Shafiullah, Lerrel Pinto project page | code | arXiv We introduce Cone-E: an open-source, low-cost bimanual mobile manipulator designed to be a reliable general-purpose robotics research platform. Following the best practices in robot platform design for indoor environments, Cone-E integrates a compact swerve-drive base enabling omnidirectional motion, a telescopic lift mechanism affording a vertical reach range from the floor to high shelves, and dual 6-DoF arms to achieve whole-body mobility and manipulation. The design emphasizes modularity and reproducibility using off-the-shelf components, 3D printed parts, and open-source software, while remaining affordable with a bill of materials (BOM) cost of $12K. |
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Raunaq Bhirangi, Venkatesh Pattabiraman, Enes Erciyes, Yifeng Cao, Tess Hellebrekers, Lerrel Pinto ICRA 2025, Best Paper: RSS 2025 Workshop on Hardware Intelligence project page | code | arXiv In this work, we address the critical challenges that impede the use of tactile sensing -- versatility, replaceability, and data reusability. We made a tactile sensor, AnySkin, that simplifies integration making it as straightforward as putting on a phone case and connecting a charger. |