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20172026
most citedALOHA 2: An Enhanced Low-Cost Hardware for Bimanual Teleoperation

8 citations · 21 across the 10 of their papers we have counts for

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9 papers · 1 filter

cs.RO2026

BPP: Long-Context Robot Imitation Learning by Focusing on Key History Frames

Max Sobol Mark, Jacky Liang, Maria Attarian +4

Many robot tasks require attending to the history of past observations. For example, finding an item in a room requires remembering which places have already been searched. However…

cs.RO20251 cited

Gemini Robotics 1.5: Pushing the Frontier of Generalist Robots with Advanced Embodied Reasoning, Thinking, and Motion Transfer

Gemini Robotics Team, Abbas Abdolmaleki, Saminda Abeyruwan +169

General-purpose robots need a deep understanding of the physical world, advanced reasoning, and general and dexterous control. This report introduces the latest generation of the G…

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.RO20241 cited

Gen2Act: Human Video Generation in Novel Scenarios enables Generalizable Robot Manipulation

Homanga Bharadhwaj, Debidatta Dwibedi, Abhinav Gupta +7

How can robot manipulation policies generalize to novel tasks involving unseen object types and new motions? In this paper, we provide a solution in terms of predicting motion info…

cs.RO20248 cited

ALOHA 2: An Enhanced Low-Cost Hardware for Bimanual Teleoperation

ALOHA 2 Team, Jorge Aldaco, Travis Armstrong +23

Diverse demonstration datasets have powered significant advances in robot learning, but the dexterity and scale of such data can be limited by the hardware cost, the hardware robus…

cs.RO2024

Vid2Robot: End-to-end Video-conditioned Policy Learning with Cross-Attention Transformers

Vidhi Jain, Maria Attarian, Nikhil J Joshi +10

Large-scale multi-task robotic manipulation systems often rely on text to specify the task. In this work, we explore whether a robot can learn by observing humans. To do so, the ro…