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".

نویسندگان

  • 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
چکیده

a School of Biological and Health Systems Engineering, Arizona State University, Tempe, AZ, USA b Research Center ‘E. Piaggio’, University of Pisa, Pisa, Italy c Advanced Robotics Department, Istituto Italiano di Tecnologia (IIT), Genova, Italy d Department of Civil and Industrial Engineering, University of Pisa, Pisa, Italy e Clinical Psychology Branch, Pisa University Hospital, Pisa, Italy f Department of Information Engineering and Mathematics, University of Siena, Siena, Italy g Department of Cognitive Neuroscience and CITEC, Bielefeld University, Bielefeld, Germany h Department of Systems Medicine and Centre of Space Bio-Medicine, Università di Roma “Tor Vergata”, 00173, Rome, Italy i Neural Basis of Sensorimotor Control, Department of Experimental Medical Science, Lund University, Lund, Sweden j Human Movement Sciences, Vrije Universiteit, Amsterdam, The Netherlands k School of Mechanical Engineering, National Technical University of Athens, Greece l DLR–German Aerospace Center, Institute of Robotics and Mechatronics, Oberpfaffenhofen, Germany

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

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 hav...

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Reply to comments on: “Hand synergies: Integration of robotics and neuroscience for understanding the control of biological and artificial hands”

a School of Biological and Health Systems Engineering, Arizona State University, Tempe, AZ, USA b Research Center ‘E. Piaggio’, University of Pisa, Pisa, Italy c Advanced Robotics Department, Istituto Italiano di Tecnologia (IIT), Genova, Italy d Department of Civil and Industrial Engineering, University of Pisa, Pisa, Italy e Clinical Psychology Branch, Pisa University Hospital, Pisa, Italy f ...

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Comment on “Hand synergies: Integration of robotics and neuroscience for understanding the control of biological and artificial hands” by M. Santello et al

Our understanding of how organisms control their limbs, i.e. systems with multiple muscles and joints, has had a profound and transformative impact on grasping and manipulation in robotics. Roboticists have struggled for a long time (and still do) with the algorithmic complexities that arise from the combinatorial explosion associated with the similarly high-dimensional problem of controlling r...

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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.

Our understanding of how organisms control their limbs, i.e. systems with multiple muscles and joints, has had a profound and transformative impact on grasping and manipulation in robotics. Roboticists have struggled for a long time (and still do) with the algorithmic complexities that arise from the combinatorial explosion associated with the similarly high-dimensional problem of controlling r...

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Adaptive synergies for the design and control of the Pisa/IIT SoftHand

In this paper we introduce the Pisa/IIT SoftHand, a novel robot hand prototype designed with the purpose of being robust and easy to control as an industrial gripper, while exhibiting high grasping versatility and an aspect similar to that of the human hand. In the paper we briefly review the main theoretical tools used to enable such simplification, i.e. the neuroscience–based notion of soft s...

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عنوان ژورنال:
  • Physics of life reviews

دوره 17  شماره 

صفحات  -

تاریخ انتشار 2016