
-
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 ...
read it
-
Mechanical Search on Shelves using Lateral Access X-RAY
Efficiently finding an occluded object with lateral access arises in man...
read it
-
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...
read it
-
Untangling Dense Knots by Learning Task-Relevant Keypoints
Untangling ropes, wires, and cables is a challenging task for robots due...
read it
-
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...
read it
-
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...
read it
-
GOMP: Grasp-Optimized Motion Planning for Bin Picking
Rapid and reliable robot bin picking is a critical challenge in automati...
read it
-
Applying Depth-Sensing to Automated Surgical Manipulation with a da Vinci Robot
Recent advances in depth-sensing have significantly increased accuracy, ...
read it
-
Deep Imitation Learning of Sequential Fabric Smoothing Policies
Sequential pulling policies to flatten and smooth fabrics have applicati...
read it