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M. Moghani

1 paper here

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  • first author1

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  • cs.RO1

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most citedSuFIA: Language-Guided Augmented Dexterity for Robotic Surgical Assistants

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

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3 papers · 1 filter

cs.RO2025

Isaac Lab: A GPU-Accelerated Simulation Framework for Multi-Modal Robot Learning

NVIDIA, :, Mayank Mittal +104

We present Isaac Lab, the natural successor to Isaac Gym, which extends the paradigm of GPU-native robotics simulation into the era of large-scale multi-modal learning. Isaac Lab c…

cs.RO2025

SuFIA-BC: Generating High Quality Demonstration Data for Visuomotor Policy Learning in Surgical Subtasks

Masoud Moghani, Nigel Nelson, Mohamed Ghanem +6

Behavior cloning facilitates the learning of dexterous manipulation skills, yet the complexity of surgical environments, the difficulty and expense of obtaining patient data, and r…

cs.RO2024★ 1 cited

SuFIA: Language-Guided Augmented Dexterity for Robotic Surgical Assistants

Masoud Moghani, Lars Doorenbos, William Chung-Ho Panitch +4

In this work, we present SuFIA, the first framework for natural language-guided augmented dexterity for robotic surgical assistants. SuFIA incorporates the strong reasoning capabil…

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