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Home/Authors/Ruslan Salakhutdinov

Ruslan Salakhutdinov

2 indexed papers

Recent (6 mo)
2
With code
0
Influential cites
0
Benchmarked
0

Publications per year

2
26

Top categories

ML×2Robotics×1AI×1Systems and Control×1Multiagent×1NLP×1

Frequent co-authors

Steven Oh1×
Jason Jingzhou Liu1×
Tony Tao1×
Philip Han1×
Kenneth Shaw1×
Satoshi Funabashi1×

Research Timeline

2026
Multi-Agent Computer Use

The paper proposes Multi-Agent Computer Use (MACU) systems, which significantly improve performance on complex, long-horizon tasks by enabling parallel execution and dynamic task decomposition compared to traditional single-agent approaches.

FACTR 2: Learning External Force Sensing for Commodity Robot Arms Improves Policy Learning

This paper presents a data-driven method to estimate external joint torques without dedicated force sensors, enabling force-feedback teleoperation on low-cost arms.

Highlighted terms show continued research focus across papers

Papers

cs.ROcs.AIcs.LGEmpiricalRecentJun 10, 2026

FACTR 2: Learning External Force Sensing for Commodity Robot Arms Improves Policy Learning

Steven Oh, Jason Jingzhou Liu, Tony Tao, Philip Han +4 more

This paper presents a data-driven method to estimate external joint torques without dedicated force sensors, enabling force-feedback teleoperation on low-cost arms.

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cs.MAcs.CLcs.LGRecent
Jun 1, 2026

Multi-Agent Computer Use

Jing Yu Koh, Ruslan Salakhutdinov, Daniel Fried

The paper proposes Multi-Agent Computer Use (MACU) systems, which significantly improve performance on complex, long-horizon tasks by enabling parallel execution and dynamic task decomposition compare…

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