activity
20202026
most citedDefGraspSim: Physics-based simulation of grasp outcomes for 3D deformable objects

38 citations · 104 across the 33 of their papers we have counts for

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Showing 2021Show all

5 papers · 1 filter

cs.RO2021★ 8 cited

Assistive Tele-op: Leveraging Transformers to Collect Robotic Task Demonstrations

Henry M. Clever, Ankur Handa, Hammad Mazhar +7

Sharing autonomy between robots and human operators could facilitate data collection of robotic task demonstrations to continuously improve learned models. Yet, the means to commun…

cs.RO2021★ 14 cited

DefGraspSim: Simulation-based grasping of 3D deformable objects

Isabella Huang, Yashraj Narang, Clemens Eppner +4

Robotic grasping of 3D deformable objects (e.g., fruits/vegetables, internal organs, bottles/boxes) is critical for real-world applications such as food processing, robotic surgery…

cs.RO2021★ 1 cited

DiSECt: A Differentiable Simulation Engine for Autonomous Robotic Cutting

Eric Heiden, Miles Macklin, Yashraj Narang +3

Robotic cutting of soft materials is critical for applications such as food processing, household automation, and surgical manipulation. As in other areas of robotics, simulators c…

cs.CV2021★ 7 cited

DexYCB: A Benchmark for Capturing Hand Grasping of Objects

Yu-Wei Chao, Wei Yang, Yu Xiang +9

We introduce DexYCB, a new dataset for capturing hand grasping of objects. We first compare DexYCB with a related one through cross-dataset evaluation. We then present a thorough b…

cs.RO2021

Sim-to-Real for Robotic Tactile Sensing via Physics-Based Simulation and Learned Latent Projections

Yashraj Narang, Balakumar Sundaralingam, Miles Macklin +2

Tactile sensing is critical for robotic grasping and manipulation of objects under visual occlusion. However, in contrast to simulations of robot arms and cameras, current simulati…