Aadhithya Iyer

According to our database, Aadhithya Iyer authored at least 5 papers between 2023 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Fauna Sprout: A lightweight, approachable, developer-ready humanoid robot.

Diego Aldarondo, Ana Pervan, Daniel Corbalan, Dave Petrillo, Bolun Dai, Aadhithya Iyer, Nina Mortensen, Erik Pearson, Sridhar Pandian Arunachalam, Emma Reznick, David Weis, Jacob Davison, Samuel Patterson, Tess Carella, Michael Suguitan, David Ye, Oswaldo Ferro, Nilesh Suriyarachchi, Spencer Ling, Erik Su, Daniel Giebisch, Peter Traver, Sam Fonseca, Mack Mor, Rohan Singh, Sertac Guven, Kangni Liu, Yaswanth Kumar Orru, Ashiq Rahman Anwar Batcha, Shruthi Ravindranath, Silky Arora, Hugo Ponte, Dez Hernandez, Utsav Chaudhary, Zack Walker, Michael Kelberman, Ivan Veloz, Christina Santa Lucia, Kat Casale, Helen Han, Michael Gromis, Michael Mignatti, Jason Reisman, Kelleher Guerin, Dario Narvaez, Christopher Anderson, Anthony Moschella, Robert Cochran, Josh Merel

CoRR, January, 2026

2025

RUKA: Rethinking the Design of Humanoid Hands with Learning.

Anya Zorin, Irmak Güzey, Billy Yan, Aadhithya Iyer, Lisa Kondrich, Nikhil X. Bhattasali, Lerrel Pinto

CoRR, April, 2025

2024

DynaMo: In-Domain Dynamics Pretraining for Visuo-Motor Control.

Zichen Jeff Cui, Hengkai Pan, Aadhithya Iyer, Siddhant Haldar, Lerrel Pinto

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

OPEN TEACH: A Versatile Teleoperation System for Robotic Manipulation.

Aadhithya Iyer, Zhuoran Peng, Yinlong Dai, Irmak Güzey, Siddhant Haldar, Soumith Chintala, Lerrel Pinto

Proceedings of the Conference on Robot Learning, 6-9 November 2024, Munich, Germany., 2024

2023

Open-Set Multi-Source Multi-Target Domain Adaptation.

Rohit Lal, Arihant Gaur, Aadhithya Iyer, Muhammed Abdullah Shaikh, Ritik Agrawal

CoRR, 2023