activity
20152025
most citedPaLM-E: An Embodied Multimodal Language Model

356 citations · 518 across the 26 of their papers we have counts for

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Showing 2025Show all

6 papers · 1 filter

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.LG2025

Self-Improving Embodied Foundation Models

Seyed Kamyar Seyed Ghasemipour, Ayzaan Wahid, Jonathan Tompson +2

Foundation models trained on web-scale data have revolutionized robotics, but their application to low-level control remains largely limited to behavioral cloning. Drawing inspirat…

cs.RO2025

Towards Embodiment Scaling Laws in Robot Locomotion

Bo Ai, Liu Dai, Nico Bohlinger +7

Cross-embodiment generalization underpins the vision of building generalist embodied agents for any robot, yet its enabling factors remain poorly understood. We investigate embodim…

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.LG2025

Learning the RoPEs: Better 2D and 3D Position Encodings with STRING

Connor Schenck, Isaac Reid, Mithun George Jacob +19

We introduce STRING: Separable Translationally Invariant Position Encodings. STRING extends Rotary Position Encodings, a recently proposed and widely used algorithm in large langua…

cs.RO2025

Robot Data Curation with Mutual Information Estimators

Joey Hejna, Suvir Mirchandani, Ashwin Balakrishna +7

The performance of imitation learning policies often hinges on the datasets with which they are trained. Consequently, investment in data collection for robotics has grown across b…