most citedDreamDojo: A Generalist Robot World Model from Large-Scale Human Videos

1 citations · 1 across the 5 of their papers we have counts for

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7 papers

cs.RO20261 cited

DreamDojo: A Generalist Robot World Model from Large-Scale Human Videos

Shenyuan Gao, William Liang, Kaiyuan Zheng +27

Being able to simulate the outcomes of actions in varied environments will revolutionize the development of generalist agents at scale. However, modeling these world dynamics, espe…

cs.RO2025

End-to-end RL Improves Dexterous Grasping Policies

Ritvik Singh, Karl Van Wyk, Pieter Abbeel +3

This work explores techniques to scale up image-based end-to-end learning for dexterous grasping with an arm + hand system. Unlike state-based RL, vision-based RL is much more memo…

cs.RO2025

Deep Sensorimotor Control by Imitating Predictive Models of Human Motion

Himanshu Gaurav Singh, Pieter Abbeel, Jitendra Malik +1

As the embodiment gap between a robot and a human narrows, new opportunities arise to leverage datasets of humans interacting with their surroundings for robot learning. We propose…

cs.RO2025

The Sound of Simulation: Learning Multimodal Sim-to-Real Robot Policies with Generative Audio

Renhao Wang, Haoran Geng, Tingle Li +7

Robots must integrate multiple sensory modalities to act effectively in the real world. Yet, learning such multimodal policies at scale remains challenging. Simulation offers a via…

cs.RO2025

SkillBlender: Towards Versatile Humanoid Whole-Body Loco-Manipulation via Skill Blending

Yuxuan Kuang, Haoran Geng, Amine Elhafsi +5

Humanoid robots hold significant potential in accomplishing daily tasks across diverse environments thanks to their flexibility and human-like morphology. Recent works have made si…

cs.CL2025

AlphaOne: Reasoning Models Thinking Slow and Fast at Test Time

Junyu Zhang, Runpei Dong, Han Wang +8

This paper presents AlphaOne (1), a universal framework for modulating reasoning progress in large reasoning models (LRMs) at test time. 1 first introduces moment, which…