Manipulating cables is challenging for robots because of the infinite de...
Learning generalizable insertion skills in a data-efficient manner has l...
In recent years, impressive results have been achieved in robotic
manipu...
Humans are capable of abstracting various tasks as different combination...
Manipulation tasks often require a robot to adjust its sensorimotor skil...
Promising results have been achieved recently in category-level manipula...
Task-relevant grasping is critical for industrial assembly, where downst...
Over the past several years there has been a considerable research inves...
In recent years, many learning based approaches have been studied to rea...
A key challenge towards the goal of multi-part assembly tasks is finding...
Rewards play a crucial role in reinforcement learning. To arrive at the
...
We propose the convex factorization machine (CFM), which is a convex var...