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Superhuman Surgical Peg Transfer Using Depth-Sensing and Deep Recurrent Neural Networks
We consider the automation of the well-known peg-transfer task from the ...
12/23/2020 ∙ by Minho Hwang, et al. ∙
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Mechanical Search on Shelves using Lateral Access X-RAY
Efficiently finding an occluded object with lateral access arises in man...
11/23/2020 ∙ by Huang Huang, et al. ∙
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Intermittent Visual Servoing: Efficiently Learning Policies Robust to Instrument Changes for High-precision Surgical Manipulation
Automation of surgical tasks using cable-driven robots is challenging du...
11/12/2020 ∙ by Samuel Paradis, et al. ∙
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Untangling Dense Knots by Learning Task-Relevant Keypoints
Untangling ropes, wires, and cables is a challenging task for robots due...
11/10/2020 ∙ by Jennifer Grannen, et al. ∙
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Robots of the Lost Arc: Learning to Dynamically Manipulate Fixed-Endpoint Ropes and Cables
High-speed arm motions can dynamically manipulate ropes and cables to va...
11/10/2020 ∙ by Harry Zhang, et al. ∙
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Efficiently Calibrating Cable-Driven Surgical Robots With RGBD Sensing, Temporal Windowing, and Linear and Recurrent Neural Network Compensation
Automation of surgical subtasks using cable-driven robotic surgical assi...
03/19/2020 ∙ by Minho Hwang, et al. ∙
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GOMP: Grasp-Optimized Motion Planning for Bin Picking
Rapid and reliable robot bin picking is a critical challenge in automati...
03/05/2020 ∙ by Jeffrey Ichnowski, et al. ∙
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Applying Depth-Sensing to Automated Surgical Manipulation with a da Vinci Robot
Recent advances in depth-sensing have significantly increased accuracy, ...
02/15/2020 ∙ by Minho Hwang, et al. ∙
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Deep Imitation Learning of Sequential Fabric Smoothing Policies
Sequential pulling policies to flatten and smooth fabrics have applicati...
09/23/2019 ∙ by Daniel Seita, et al. ∙
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