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20232026
most citedMirage: Cross-Embodiment Zero-Shot Policy Transfer with Cross-Painting

2 citations · 4 across the 13 of their papers we have counts for

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Showing 2024 · cs.ROShow all

6 papers · 2 filters

cs.RO2024

FogROS2-FT: Fault Tolerant Cloud Robotics

Kaiyuan Chen, Kush Hari, Trinity Chung +8

Cloud robotics enables robots to offload complex computational tasks to cloud servers for performance and ease of management. However, cloud compute can be costly, cloud services c…

cs.RO2024

Language-Embedded Gaussian Splats (LEGS): Incrementally Building Room-Scale Representations with a Mobile Robot

Justin Yu, Kush Hari, Kishore Srinivas +9

Building semantic 3D maps is valuable for searching for objects of interest in offices, warehouses, stores, and homes. We present a mapping system that incrementally builds a Langu…

cs.RO2024★ 1 cited

ORBIT-Surgical: An Open-Simulation Framework for Learning Surgical Augmented Dexterity

Qinxi Yu, Masoud Moghani, Karthik Dharmarajan +8

Physics-based simulations have accelerated progress in robot learning for driving, manipulation, and locomotion. Yet, a fast, accurate, and robust surgical simulation environment r…

cs.RO2024

STITCH: Augmented Dexterity for Suture Throws Including Thread Coordination and Handoffs

Kush Hari, Hansoul Kim, Will Panitch +6

We present STITCH: an augmented dexterity pipeline that performs Suture Throws Including Thread Coordination and Handoffs. STITCH iteratively performs needle insertion, thread swee…

cs.RO2024

Lifelong LERF: Local 3D Semantic Inventory Monitoring Using FogROS2

Adam Rashid, Chung Min Kim, Justin Kerr +11

Inventory monitoring in homes, factories, and retail stores relies on maintaining data despite objects being swapped, added, removed, or moved. We introduce Lifelong LERF, a method…

cs.RO2024★ 2 cited

Mirage: Cross-Embodiment Zero-Shot Policy Transfer with Cross-Painting

Lawrence Yunliang Chen, Kush Hari, Karthik Dharmarajan +3

The ability to reuse collected data and transfer trained policies between robots could alleviate the burden of additional data collection and training. While existing approaches su…