Enes Erciyes

Founding Research Engineer
Stealth Robotics Startup

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Short Bio
Hi I am Enes! I am currently a Founding Research Engineer at a Stealth Robotics Startup. I am interested in robot learning and how to engineer the best systems for enabling robots to learn better. I also like to work on high performance 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.

Education
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
Experience
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
Research Scholar
EPFL VITA Lab | Lausanne, Switzerland
Jul 2022 - Oct 2022
Research on "World modeling and hierarchical planning for autonomous driving"
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.
Research & Publications
YOR: Your Own Mobile Manipulator for Generalizable Robotics
Manan H Anjaria*, Enes Erciyes*, Vedant Ghatnekar, Neha Navarkar, Haritheja Etukuru, Xiaole Jiang, Kanad Patel, Dhawal Kabra, Nicholas Wojno, Radhika Ajay Prayage, Soumith Chintala, Lerrel Pinto, Nur Muhammad Mahi Shafiullah, Zichen Jeff Cui
project page | code | arXiv

Recent advances in robot learning have generated significant interest in capable platforms that may eventually approach human-level competence. This interest, combined with the commoditization of actuators, has propelled growth in low-cost robotic platforms. However, the optimal form factor for mobile manipulation, especially on a budget, remains an open question. We introduce YOR, an open-source, low-cost mobile manipulator that integrates an omnidirectional base, a telescopic vertical lift, and two arms with grippers to achieve whole-body mobility and manipulation. Our design emphasizes modularity, ease of assembly using off-the-shelf components, and affordability, with a bill-of-materials cost under 10,000 USD. We demonstrate YOR's capability by completing tasks that require coordinated whole-body control, bimanual manipulation, and autonomous navigation. Overall, YOR offers competitive functionality for mobile manipulation research at a fraction of the cost of existing platforms.

Cone-E: An Open Source Bimanual Mobile Manipulator for Generalizable Robotics
Enes Erciyes, Haritheja Etukuru, Soumith Chintala, Nur Muhammad “Mahi” Shafiullah, Lerrel Pinto
project page

We introduce Cone-E: an open-source, low-cost bimanual mobile manipulator designed to be a reliable general-purpose robotics research platform.

AnySkin: Plug-and-play Tactile Skins for Robotic Touch
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.


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