Many fabric handling and 2D deformable material tasks in homes and indus...
Point clouds are a widely available and canonical data modality which co...
Thin plastic bags are ubiquitous in retail stores, healthcare, food hand...
Robotic manipulation of cloth has applications ranging from fabrics
manu...
Recent work has shown that 2-arm "fling" motions can be effective for ga...
Manipulation of deformable objects using a single parameterized dynamic
...
Deep reinforcement learning (RL) has shown great empirical successes, bu...
Corrective interventions while a robot is learning to automate a task pr...
Robotic fabric manipulation has applications in home robotics, textiles,...
We consider the automation of the well-known peg-transfer task from the
...
Rearranging and manipulating deformable objects such as cables, fabrics,...
Automation of surgical tasks using cable-driven robots is challenging du...
High-speed arm motions can dynamically manipulate ropes and cables to va...
We explore learning pixelwise correspondences between images of deformab...
Robotic fabric manipulation is challenging due to the infinite dimension...
Robotic fabric manipulation has applications in cloth and cable manageme...
Automation of surgical subtasks using cable-driven robotic surgical
assi...
Recent advances in depth-sensing have significantly increased accuracy,
...
Learning from demonstrations is a popular tool for accelerating and redu...
Sequential pulling policies to flatten and smooth fabrics have applicati...
Deep reinforcement learning has recently made significant progress in so...
Bed-making is a common task well-suited for home robots since it is tole...
We present a novel Metropolis-Hastings method for large datasets that us...
A fundamental task in machine learning and related fields is to perform
...