Most dynamics functions are not well-aligned to task requirements.
Contr...
Recent work has demonstrated the ability of deep reinforcement learning ...
Dexterous robotic hands have the capability to interact with a wide vari...
Teaching a multi-fingered dexterous robot to grasp objects in the real w...
Classical mechanical systems are central to controller design in energy
...
Roboticists frequently turn to Imitation learning (IL) for data efficien...
We introduce DexYCB, a new dataset for capturing hand grasping of object...
We consider the problem of learning motion policies for acceleration-bas...
In the human hand, high-density contact information provided by afferent...
This paper describes the pragmatic design and construction of geometric
...
Second-order differential equations define smooth system behavior. In
ge...
Robotics research has found numerous important applications of Riemannia...
This paper presents a theory of optimization fabrics, second-order
diffe...
High-density afferents in the human hand have long been regarded as esse...
Tracking the pose of an object while it is being held and manipulated by...
Teleoperation offers the possibility of imparting robotic systems with
s...
The advancement of simulation-assisted robot programming, automation of
...
The existence of tactile afferents sensitive to slip-related mechanical
...