most citedBeyond Pick-and-Place: Tackling Robotic Stacking of Diverse Shapes

16 citations · 22 across the 2 of their papers we have counts for

collaborators

5 papers

cs.RO2025

ExoStart: Efficient learning for dexterous manipulation with sensorized exoskeleton demonstrations

Zilin Si, Jose Enrique Chen, M. Emre Karagozler +15

Recent advancements in teleoperation systems have enabled high-quality data collection for robotic manipulators, showing impressive results in learning manipulation at scale. This…

cs.RO20256 cited

Gemini Robotics: Bringing AI into the Physical World

Gemini Robotics Team, Saminda Abeyruwan, Joshua Ainslie +115

Recent advancements in large multimodal models have led to the emergence of remarkable generalist capabilities in digital domains, yet their translation to physical agents such as…

cs.RO2025

Proc4Gem: Foundation models for physical agency through procedural generation

Yixin Lin, Jan Humplik, Sandy H. Huang +18

In robot learning, it is common to either ignore the environment semantics, focusing on tasks like whole-body control which only require reasoning about robot-environment contacts,…

cs.RO202116 cited

Beyond Pick-and-Place: Tackling Robotic Stacking of Diverse Shapes

Alex X. Lee, Coline Devin, Yuxiang Zhou +18

We study the problem of robotic stacking with objects of complex geometry. We propose a challenging and diverse set of such objects that was carefully designed to require strategie…

cs.CV2021

Computer-Aided Design as Language

Yaroslav Ganin, Sergey Bartunov, Yujia Li +2

Computer-Aided Design (CAD) applications are used in manufacturing to model everything from coffee mugs to sports cars. These programs are complex and require years of training and…