activity
20212025
most citedLearning Agile Soccer Skills for a Bipedal Robot with Deep Reinforcement Learning

166 citations · 241 across the 8 of their papers we have counts for

collaborators

8 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.RO2025★ 6 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.RO2024

Prosody for Intuitive Robotic Interface Design: It's Not What You Said, It's How You Said It

Elaheh Sanoubari, Atil Iscen, Leila Takayama +3

In this paper, we investigate the use of 'prosody' (the musical elements of speech) as a communicative signal for intuitive human-robot interaction interfaces. Our approach, rooted…

cs.RO2023★ 13 cited

Barkour: Benchmarking Animal-level Agility with Quadruped Robots

Ken Caluwaerts, Atil Iscen, J. Chase Kew +41

Animals have evolved various agile locomotion strategies, such as sprinting, leaping, and jumping. There is a growing interest in developing legged robots that move like their biol…

cs.RO2023★ 166 cited

Learning Agile Soccer Skills for a Bipedal Robot with Deep Reinforcement Learning

Tuomas Haarnoja, Ben Moran, Guy Lever +25

We investigate whether Deep Reinforcement Learning (Deep RL) is able to synthesize sophisticated and safe movement skills for a low-cost, miniature humanoid robot that can be compo…

cs.RO2021★ 16 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★ 40 cited

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…