Biological systems, including human beings, have the innate ability to perform complex
tasks in a versatile and agile manner. Researchers in sensorimotor control have aimed to …

Motor learning is often viewed as a unitary process that operates outside of conscious
awareness. This perspective has led to the development of sophisticated models designed …

This paper tackles the task of goal-conditioned dynamic manipulation of deformable objects.
This task is highly challenging due to its complex dynamics (introduced by object …

The control of kinematically redundant robots is often approached using nullspace
projection, which requires precise models and can be computationally challenging. Humans …

Humans are strikingly adept at manipulating complex objects, from tying shoelaces to
cracking a bullwhip. These motor skills have highly nonlinear interactive dynamics that defy …

This simulation study investigated whether a 4-degrees-of-freedom (DOF) arm could strike a
target with a 50-DOF whip using a motion profile similar to discrete human movements. The …

Humans substantially outperform robotic systems in tasks that require physical interaction,
despite seemingly inferior muscle bandwidth and slow neural information transmission. The …

Motor primitives are fundamental building blocks of a controller which enable dynamic robot
behavior with minimal high-level intervention. By treating motor primitives as basic …

Humans are adept at a wide variety of motor skills, including the handling of complex objects
and using tools. Advances to understand the control of voluntary goal-directed movements …

Humans excel at physical interaction despite long feedback delays and low-bandwidth
actuators. Yet little is known about how humans manage physical interaction. A quantitative …