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20212025
most citedSimNet: Enabling Robust Unknown Object Manipulation from Pure Synthetic Data via Stereo

14 citations · 28 across the 5 of their papers we have counts for

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5 papers · 1 filter

cs.RO2025

Practical Insights on Grasp Strategies for Mobile Manipulation in the Wild

Isabella Huang, Richard Cheng, Sangwoon Kim +8

Mobile manipulation robots are continuously advancing, with their grasping capabilities rapidly progressing. However, there are still significant gaps preventing state-of-the-art m…

cs.RO2025★ 1 cited

A Direct Semi-Exhaustive Search Method for Robust, Partial-to-Full Point Cloud Registration

Richard Cheng, Chavdar Papozov, Dan Helmick +1

Point cloud registration refers to the problem of finding the rigid transformation that aligns two given point clouds, and is crucial for many applications in robotics and computer…

cs.RO2024★ 13 cited

Demonstrating Mobile Manipulation in the Wild: A Metrics-Driven Approach

Max Bajracharya, James Borders, Richard Cheng +11

We present our general-purpose mobile manipulation system consisting of a custom robot platform and key algorithms spanning perception and planning. To extensively test the system…

cs.RO2021

A Learned Stereo Depth System for Robotic Manipulation in Homes

Krishna Shankar, Mark Tjersland, Jeremy Ma +2

We present a passive stereo depth system that produces dense and accurate point clouds optimized for human environments, including dark, textureless, thin, reflective and specular…

cs.RO2021★ 14 cited

SimNet: Enabling Robust Unknown Object Manipulation from Pure Synthetic Data via Stereo

Thomas Kollar, Michael Laskey, Kevin Stone +2

Robot manipulation of unknown objects in unstructured environments is a challenging problem due to the variety of shapes, materials, arrangements and lighting conditions. Even with…