Modularity in motor control: from muscle synergies to cognitive action representation
Mastering a rich repertoire of motor behaviors, as humans and other animals do, is a
surprising and still a poorly understood outcome of evolution, development, and learning …
surprising and still a poorly understood outcome of evolution, development, and learning …
Learning movement primitive libraries through probabilistic segmentation
Movement primitives are a well-established approach for encoding and executing
movements. While the primitives themselves have been extensively researched, the concept …
movements. While the primitives themselves have been extensively researched, the concept …
Cortical circuits and modules in movement generation: experiments and theories
Highlights•Studies of modularity and compositionality provide insights into cortical
organization.•Neural population activities are analyzed from representational and dynamic …
organization.•Neural population activities are analyzed from representational and dynamic …
Probabilistic segmentation applied to an assembly task
Movement primitives are a well established approach for encoding and executing robot
movements. While the primitives themselves have been extensively researched, the concept …
movements. While the primitives themselves have been extensively researched, the concept …
Geometrical invariance and smoothness maximization for task-space movement generation
Y Meirovitch, D Bennequin… - IEEE Transactions on …, 2016 - ieeexplore.ieee.org
In human motor control studies, end-effector (eg, hand) trajectories have been successfully
modeled using optimization principles. Yet, it remains unclear how such trajectories are …
modeled using optimization principles. Yet, it remains unclear how such trajectories are …
Open-source benchmarking for learned reaching motion generation in robotics
This paper introduces a benchmark framework to evaluate the performance of reaching
motion generation approaches that learn from demonstrated examples. The system …
motion generation approaches that learn from demonstrated examples. The system …
Expertise, teleoperation, and task constraints affect the speed–curvature–torsion power law in RAMIS
Quantitative characterization of surgical movements can improve the quality of patient care
by informing the development of new training protocols for surgeons, and the design and …
by informing the development of new training protocols for surgeons, and the design and …
Self-supervised bootstrapping of a movement primitive library from complex trajectories
Recent approaches have been advocated to learn a movement primitive library from
demonstrations by using predefined motion features to identify and extract new movement …
demonstrations by using predefined motion features to identify and extract new movement …
Discovery and recognition of motion primitives in human activities
We present a novel framework for the automatic discovery and recognition of motion
primitives in videos of human activities. Given the 3D pose of a human in a video, human …
primitives in videos of human activities. Given the 3D pose of a human in a video, human …
What can spatiotemporal characteristics of movements in RAMIS tell Us?
Quantitative characterization of surgical movements can improve the quality of patient care
by informing the development of new training protocols for surgeons, and the design and …
by informing the development of new training protocols for surgeons, and the design and …