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20192024
most citedDex-NeRF: Using a Neural Radiance Field to Grasp Transparent Objects

61 citations · 218 across the 41 of their papers we have counts for

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Showing 2022Show all

13 papers · 1 filter

cs.RO2022★ 5 cited

FogROS G: Enabling Secure, Connected and Mobile Fog Robotics with Global Addressability

Kaiyuan Chen, Jiachen Yuan, Nikhil Jha +3

Fog Robotics renders networked robots with greater mobility, on-demand compute capabilities and better energy efficiency by offloading heavy robotics workloads to nearby Edge and d…

cs.RO2022★ 1 cited

Learning to Efficiently Plan Robust Frictional Multi-Object Grasps

Wisdom C. Agboh, Satvik Sharma, Kishore Srinivas +7

We consider a decluttering problem where multiple rigid convex polygonal objects rest in randomly placed positions and orientations on a planar surface and must be efficiently tran…

cs.RO2022

SGTM 2.0: Autonomously Untangling Long Cables using Interactive Perception

Kaushik Shivakumar, Vainavi Viswanath, Anrui Gu +6

Cables are commonplace in homes, hospitals, and industrial warehouses and are prone to tangling. This paper extends prior work on autonomously untangling long cables by introducing…

cs.RO2022

Self-Supervised Visuo-Tactile Pretraining to Locate and Follow Garment Features

Justin Kerr, Huang Huang, Albert Wilcox +4

Humans make extensive use of vision and touch as complementary senses, with vision providing global information about the scene and touch measuring local information during manipul…

cs.RO2022

Autonomously Untangling Long Cables

Vainavi Viswanath, Kaushik Shivakumar, Justin Kerr +7

Cables are ubiquitous in many settings and it is often useful to untangle them. However, cables are prone to self-occlusions and knots, making them difficult to perceive and manipu…

cs.RO2022

Mechanical Search on Shelves with Efficient Stacking and Destacking of Objects

Huang Huang, Letian Fu, Michael Danielczuk +6

Stacking increases storage efficiency in shelves, but the lack of visibility and accessibility makes the mechanical search problem of revealing and extracting target objects diffic…