activity
20232026
most citedOpen-Set Multi-Source Multi-Target Domain Adaptation

2 citations · 4 across the 5 of their papers we have counts for

collaborators

5 papers

cs.RO2026

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

Fauna Robotics, :, Diego Aldarondo +48

Recent advances in learned control, large-scale simulation, and generative models have accelerated progress toward general-purpose robotic controllers, yet the field still lacks pl…

cs.RO2025

RUKA: Rethinking the Design of Humanoid Hands with Learning

Anya Zorin, Irmak Guzey, Billy Yan +4

Dexterous manipulation is a fundamental capability for robotic systems, yet progress has been limited by hardware trade-offs between precision, compactness, strength, and affordabi…

cs.RO2024

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

Zichen Jeff Cui, Hengkai Pan, Aadhithya Iyer +2

Imitation learning has proven to be a powerful tool for training complex visuomotor policies. However, current methods often require hundreds to thousands of expert demonstrations…

cs.RO2024★ 2 cited

OPEN TEACH: A Versatile Teleoperation System for Robotic Manipulation

Aadhithya Iyer, Zhuoran Peng, Yinlong Dai +4

Open-sourced, user-friendly tools form the bedrock of scientific advancement across disciplines. The widespread adoption of data-driven learning has led to remarkable progress in m…

cs.CV2023★ 2 cited

Open-Set Multi-Source Multi-Target Domain Adaptation

Rohit Lal, Arihant Gaur, Aadhithya Iyer +2

Single-Source Single-Target Domain Adaptation (1S1T) aims to bridge the gap between a labelled source domain and an unlabelled target domain. Despite 1S1T being a well-researched t…