Planning robotic manipulation tasks, especially those that involve
inter...
Pre-defined manipulation primitives are widely used for cloth manipulati...
Matrix Lie groups are an important class of manifolds commonly used in
c...
In this paper, we propose RiemannianFlow, a deep generative model that a...
Reinforcement learning (RL) enables an agent to learn by trial and error...
The capability to adapt compliance by varying muscle stiffness is crucia...
In this paper, we propose an approach to learn stable dynamical systems
...
Evaluation of grasps on deformable 3D objects is a little-studied proble...
Learning from demonstration (LfD) is considered as an efficient way to
t...
Imitation learning techniques have been used as a way to transfer skills...
Grasp synthesis for 3D deformable objects remains a little-explored topi...
Grasping deformable objects is not well researched due to the complexity...
Biological systems, including human beings, have the innate ability to
p...
Accurately modeling local surface properties of objects is crucial to ma...
Robots that physically interact with their surroundings, in order to
acc...
Soft robotic hands and grippers are increasingly attracting attention as...
In many robot control problems, factors such as stiffness and damping
ma...
As a promising branch in robotics, imitation learning emerges as an impo...
During the past few years, probabilistic approaches to imitation learnin...