61 citations · 218 across the 41 of their papers we have counts for
11 papers · 1 filter
Learning to Localize, Grasp, and Hand Over Unmodified Surgical Needles
Albert Wilcox, Justin Kerr, Brijen Thananjeyan +5
Robotic Surgical Assistants (RSAs) are commonly used to perform minimally invasive surgeries by expert surgeons. However, long procedures filled with tedious and repetitive tasks s…
LEGS: Learning Efficient Grasp Sets for Exploratory Grasping
Letian Fu, Michael Danielczuk, Ashwin Balakrishna +4
While deep learning has enabled significant progress in designing general purpose robot grasping systems, there remain objects which still pose challenges for these systems. Recent…
Planar Robot Casting with Real2Sim2Real Self-Supervised Learning
Vincent Lim, Huang Huang, Lawrence Yunliang Chen +5
This paper introduces the task of {\em Planar Robot Casting (PRC)}: where one planar motion of a robot arm holding one end of a cable causes the other end to slide across the plane…
Dex-NeRF: Using a Neural Radiance Field to Grasp Transparent Objects
Jeffrey Ichnowski, Yahav Avigal, Justin Kerr +1
The ability to grasp and manipulate transparent objects is a major challenge for robots. Existing depth cameras have difficulty detecting, localizing, and inferring the geometry of…
GOMP-FIT: Grasp-Optimized Motion Planning for Fast Inertial Transport
Jeffrey Ichnowski, Yahav Avigal, Yi Liu +1
High-speed motions in pick-and-place operations are critical to making robots cost-effective in many automation scenarios, from warehouses and manufacturing to hospitals and homes.…
FogROS: An Adaptive Framework for Automating Fog Robotics Deployment
Kaiyuan, Chen, Yafei Liang +6
As many robot automation applications increasingly rely on multi-core processing or deep-learning models, cloud computing is becoming an attractive and economically viable resource…