Feedback Error Learning for Rhythmic Motor Primitives [PDF]
2013 IEEE International Conference on Robotics and Automation, 2013 — Rhythmic motor primitives can be used to learn a variety of oscillatory behaviors from demonstrations or reward signals, e.g., hopping, walking, running and ball-bouncing.
Deisenroth, MP, Gopalan, N, Peters, J
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Lower complexity of motor primitives ensures robust control of high-speed human locomotion [PDF]
Heliyon, 2020 Walking and running are mechanically and energetically different locomotion modes. For selecting one or another, speed is a parameter of paramount importance.
Alessandro Santuz +5 more
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Action recognition and understanding using motor primitives [PDF]
RO-MAN 2007 - The 16th IEEE International Symposium on Robot and Human Interactive Communication, 2007 — We investigate modeling and recognition of arm manipulation actions of different levels of complexity. To model the process, we are using a combination of discriminative support vector machines and generative hidden Markov models.
Danica Kragic +3 more
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Exploring motor skill acquisition in bimanual coordination: insights from navigating a novel maze task [PDF]
Scientific ReportsIn this study, we introduce a novel maze task designed to investigate naturalistic motor learning in bimanual coordination. We developed and validated an extended set of movement primitives tailored to capture the full spectrum of scenarios encountered ...
Miguel Cienfuegos +6 more
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Distinguishing Synchronous and Time Varying Synergies using Point Process Interval Statistics: Motor Primitives in Frog and Rat. [PDF]
Frontiers in Computational Neuroscience, 2013 We present and apply a method that uses point process statistics to discriminate the forms of synergies in motor pattern data, prior to explicit synergy extraction. The method uses electromyogram (EMG) pulse peak timing or onset timing.
Corey B Hart +3 more
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Comparative analysis of motor skill acquisition in a novel bimanual task: the role of mental representation and sensorimotor feedback [PDF]
Frontiers in Human NeuroscienceIntroductionThis study investigates the multifaceted nature of motor learning in a complex bimanual task by examining the interplay between mental representation structures, biomechanics, tactile pressure, and performance.
Miguel Cienfuegos +8 more
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Sex-specific tuning of modular muscle activation patterns for locomotion in young and older adults.
PLoS ONE, 2022 There is increasing evidence that including sex as a biological variable is of crucial importance to promote rigorous, repeatable and reproducible science.
Alessandro Santuz +6 more
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Frontiers in Neurorobotics, 2022 Robot kinematic data, despite being high-dimensional, is highly correlated, especially when considering motions grouped in certain primitives. These almost linear correlations within primitives allow us to interpret motions as points drawn close to a ...
Vsevolod Nikulin, Jun Tani
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A framework to identify structured behavioral patterns within rodent spatial trajectories
Scientific Reports, 2021 Animal behavior is highly structured. Yet, structured behavioral patterns—or “statistical ethograms”—are not immediately apparent from the full spatiotemporal data that behavioral scientists usually collect.
Francesco Donnarumma +7 more
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Emergence of functional hierarchy in a multiple timescale neural network model: a humanoid robot experiment. [PDF]
PLoS Computational Biology, 2008 It is generally thought that skilled behavior in human beings results from a functional hierarchy of the motor control system, within which reusable motor primitives are flexibly integrated into various sensori-motor sequence patterns.
Yuichi Yamashita, Jun Tani
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