Literature DB >> 26923030

Hand synergies: Integration of robotics and neuroscience for understanding the control of biological and artificial hands.

Marco Santello1, Matteo Bianchi2, Marco Gabiccini3, Emiliano Ricciardi4, Gionata Salvietti5, Domenico Prattichizzo6, Marc Ernst7, Alessandro Moscatelli8, Henrik Jörntell9, Astrid M L Kappers10, Kostas Kyriakopoulos11, Alin Albu-Schäffer12, Claudio Castellini12, Antonio Bicchi13.   

Abstract

The term 'synergy' - from the Greek synergia - means 'working together'. The concept of multiple elements working together towards a common goal has been extensively used in neuroscience to develop theoretical frameworks, experimental approaches, and analytical techniques to understand neural control of movement, and for applications for neuro-rehabilitation. In the past decade, roboticists have successfully applied the framework of synergies to create novel design and control concepts for artificial hands, i.e., robotic hands and prostheses. At the same time, robotic research on the sensorimotor integration underlying the control and sensing of artificial hands has inspired new research approaches in neuroscience, and has provided useful instruments for novel experiments. The ambitious goal of integrating expertise and research approaches in robotics and neuroscience to study the properties and applications of the concept of synergies is generating a number of multidisciplinary cooperative projects, among which the recently finished 4-year European project "The Hand Embodied" (THE). This paper reviews the main insights provided by this framework. Specifically, we provide an overview of neuroscientific bases of hand synergies and introduce how robotics has leveraged the insights from neuroscience for innovative design in hardware and controllers for biomedical engineering applications, including myoelectric hand prostheses, devices for haptics research, and wearable sensing of human hand kinematics. The review also emphasizes how this multidisciplinary collaboration has generated new ways to conceptualize a synergy-based approach for robotics, and provides guidelines and principles for analyzing human behavior and synthesizing artificial robotic systems based on a theory of synergies.
Copyright © 2016 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Biomechanics; Electromyography; Force; Motor control; Movement

Mesh:

Year:  2016        PMID: 26923030      PMCID: PMC5839666          DOI: 10.1016/j.plrev.2016.02.001

Source DB:  PubMed          Journal:  Phys Life Rev        ISSN: 1571-0645            Impact factor:   11.025


  117 in total

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Authors:  Sara A Winges; Marco Santello
Journal:  J Neurophysiol       Date:  2004-07-07       Impact factor: 2.714

2.  Path integration in tactile perception of shapes.

Authors:  Alessandro Moscatelli; Abdeldjallil Naceri; Marc O Ernst
Journal:  Behav Brain Res       Date:  2014-08-21       Impact factor: 3.332

3.  Cues for Haptic Perception of Compliance.

Authors:  W M Bergmann Tiest; A Kappers
Journal:  IEEE Trans Haptics       Date:  2009-05-02       Impact factor: 2.487

4.  Coordination between the transport and the grasp components during prehension movements.

Authors:  S Chieffi; M Gentilucci
Journal:  Exp Brain Res       Date:  1993       Impact factor: 1.972

5.  A classification of manipulative hand movements.

Authors:  J M Elliott; K J Connolly
Journal:  Dev Med Child Neurol       Date:  1984-06       Impact factor: 5.449

Review 6.  Motor synergies and the equilibrium-point hypothesis.

Authors:  Mark L Latash
Journal:  Motor Control       Date:  2010-07       Impact factor: 1.422

7.  Alterations in upper limb muscle synergy structure in chronic stroke survivors.

Authors:  Jinsook Roh; William Z Rymer; Eric J Perreault; Seng Bum Yoo; Randall F Beer
Journal:  J Neurophysiol       Date:  2012-11-14       Impact factor: 2.714

8.  Task-dependent viscoelasticity of human multijoint arm and its spatial characteristics for interaction with environments.

Authors:  H Gomi; R Osu
Journal:  J Neurosci       Date:  1998-11-01       Impact factor: 6.167

9.  Spatio-temporal skin strain distributions evoke low variability spike responses in cuneate neurons.

Authors:  Vincent Hayward; Alexander V Terekhov; Sheng-Chao Wong; Pontus Geborek; Fredrik Bengtsson; Henrik Jörntell
Journal:  J R Soc Interface       Date:  2014-01-22       Impact factor: 4.118

10.  Integration of sensory quanta in cuneate nucleus neurons in vivo.

Authors:  Fredrik Bengtsson; Romain Brasselet; Roland S Johansson; Angelo Arleo; Henrik Jörntell
Journal:  PLoS One       Date:  2013-02-08       Impact factor: 3.240

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  40 in total

1.  Skilful force control in expert pianists.

Authors:  Takanori Oku; Shinichi Furuya
Journal:  Exp Brain Res       Date:  2017-03-04       Impact factor: 1.972

2.  Neuro-prosthetic interplay: Comment on "Hand synergies: Integration of robotics and neuroscience for understanding the control of biological and artificial hands" by M. Santello et al.

Authors:  Marc H Schieber
Journal:  Phys Life Rev       Date:  2016-04-06       Impact factor: 11.025

3.  Neural basis for hand muscle synergies in the primate spinal cord.

Authors:  Tomohiko Takei; Joachim Confais; Saeka Tomatsu; Tomomichi Oya; Kazuhiko Seki
Journal:  Proc Natl Acad Sci U S A       Date:  2017-07-24       Impact factor: 11.205

4.  Stability of Kinesthetic Perception in Efferent-Afferent Spaces: The Concept of Iso-perceptual Manifold.

Authors:  Mark L Latash
Journal:  Neuroscience       Date:  2017-12-23       Impact factor: 3.590

5.  Synergies at the level of motor units in single-finger and multi-finger tasks.

Authors:  Shirin Madarshahian; Mark L Latash
Journal:  Exp Brain Res       Date:  2021-07-26       Impact factor: 1.972

Review 6.  Biomedical soft robots: current status and perspective.

Authors:  T Ashuri; A Armani; R Jalilzadeh Hamidi; T Reasnor; S Ahmadi; K Iqbal
Journal:  Biomed Eng Lett       Date:  2020-05-28

7.  Dexterous Object Manipulation Requires Context-Dependent Sensorimotor Cortical Interactions in Humans.

Authors:  Pranav J Parikh; Justin M Fine; Marco Santello
Journal:  Cereb Cortex       Date:  2020-05-14       Impact factor: 5.357

8.  Multidigit force control during unconstrained grasping in response to object perturbations.

Authors:  Abdeldjallil Naceri; Alessandro Moscatelli; Robert Haschke; Helge Ritter; Marco Santello; Marc O Ernst
Journal:  J Neurophysiol       Date:  2017-02-22       Impact factor: 2.714

9.  Impact of industry 4.0 to create advancements in orthopaedics.

Authors:  Mohd Javaid; Abid Haleem
Journal:  J Clin Orthop Trauma       Date:  2020-03-18

10.  Towards a synergy framework across neuroscience and robotics: Lessons learned and open questions. Reply to comments on: "Hand synergies: Integration of robotics and neuroscience for understanding the control of biological and artificial hands".

Authors:  Marco Santello; Matteo Bianchi; Marco Gabiccini; Emiliano Ricciardi; Gionata Salvietti; Domenico Prattichizzo; Marc Ernst; Alessandro Moscatelli; Henrik Jorntell; Astrid M L Kappers; Kostas Kyriakopoulos; Alin Abu Schaeffer; Claudio Castellini; Antonio Bicchi
Journal:  Phys Life Rev       Date:  2016-06-22       Impact factor: 11.025

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