9 citations · 11 across the 4 of their papers we have counts for
5 papers
GOMP: Grasp-Optimized Motion Planning for Bin Picking
Jeffrey Ichnowski, Michael Danielczuk, Jingyi Xu +2
Rapid and reliable robot bin picking is a critical challenge in automating warehouses, often measured in picks-per-hour (PPH). We explore increasing PPH using faster motions based…
Efficiently Calibrating Cable-Driven Surgical Robots with RGBD Fiducial Sensing and Recurrent Neural Networks
Minho Hwang, Brijen Thananjeyan, Samuel Paradis +5
Automation of surgical subtasks using cable-driven robotic surgical assistants (RSAs) such as Intuitive Surgical's da Vinci Research Kit (dVRK) is challenging due to imprecision in…
Applying Depth-Sensing to Automated Surgical Manipulation with a da Vinci Robot
Minho Hwang, Daniel Seita, Brijen Thananjeyan +5
Recent advances in depth-sensing have significantly increased accuracy, resolution, and frame rate, as shown in the 1920x1200 resolution and 13 frames per second Zivid RGBD camera.…
Deep Imitation Learning of Sequential Fabric Smoothing From an Algorithmic Supervisor
Daniel Seita, Aditya Ganapathi, Ryan Hoque +11
Sequential pulling policies to flatten and smooth fabrics have applications from surgery to manufacturing to home tasks such as bed making and folding clothes. Due to the complexit…
Minimal Work: A Grasp Quality Metric for Deformable Hollow Objects
Jingyi Xu, Michael Danielczuk, Jeff Ichnowski +3
Robot grasping of deformable hollow objects such as plastic bottles and cups is challenging as the grasp should resist disturbances while minimally deforming the object so as not t…