[neuro] [Comp-neuro] 2009 ICRA Workshop: Brain Machine Interfaces for Neuroprostheses and Robot Control

[Eugen Leitl]

----- Forwarded message from Javier Minguez <jminguez at unizar.es> -----

From: Javier Minguez <jminguez at unizar.es>
Date: Mon, 13 Apr 2009 20:11:22 +0200
To: robotics-worldwide at usc.edu, euron-dist at iais.fraunhofer.de,
	comp-neuro at neuroinf.org, cea-gtrob at listserv.uc3m.es,
	listagtrob at uc3m.es
Cc: Carmen Vidaurre <carmen.vidaurre at first.fraunhofer.de>,
	Ander Ramos <ander.ramos at gmail.com>
Subject: [Comp-neuro] 2009 ICRA Workshop: Brain Machine Interfaces for
	Neuroprostheses and Robot Control


   ICRA 2009  Full-day Workshop (12h May)


   Title: Brain Machine Interfaces for Neuroprostheses and Robot Control


   Abstract --  Brain-Machine Interfaces encompasses a growing and
   increasing community that merges researchers and industry with the
   objective of creating applications and solutions to ameliorate the
   quality of life of human beings. This challenging research area
   involves a tight cooperation among neuroscience, computer science, and
   biomedical engineering among others. With the understanding of the
   human brain and the rapid development in the instrumentation, signal
   processing and machine learning; the brain machine interfaces are
   reaching real rehabilitation applications that require robotics
   developments. The neurocontrol of devices is certainly an interesting
   and promising research area that is only at the begging of a
   scientific and practical exploration.


   In response to this growing interest in neurosignals actuated devices,
   several initiatives are starting to pave the path towards a full
   series of neurodevices. Researchers are investigating the neural
   correlates concerning the human perception and motion to create a
   direct interface between the brain and a prosthetic device, in
   virtually, the same way we human proceed. Other researches are
   applying brain machine learning technology to directly interact with
   autonomous mobile robots in applications like intelligent wheelchairs
   or the teleoperation between remote scenarios. Individuals with severe
   neuromuscular impairments and those involved in rehabilitation therapy
   are potential beneficiaries of assistive technology, not only for
   improved mobility but also for improved outcomes in recovery. In
   addition, this research is starting to find a new path in the
   amusement arena.


   ----- Time, Speakers and title of talk


   09:00Dr. Jun Morimoto (Prof. M. Kawato). Using Monkey's Brain Activity
   for Biped Walking Control of a Humanoid Robort.

   09:45Dr. Jose M. Carmena: Consolidation of Prosthetic Motor Skill in
   Primates,

   10:45-- Coffee break/Posters exhibition

   11:00Prof. Fivos Panetsos: Sensory and Motor interfaces between
   peripheral nerves and electronic systems and the plasticity of the CNS

   11:45Dr. Reinhold Scherer (Prof. R. Rao): From neuroprostheses to
   anatomically correct robotic systems: BCI research in Seattle.

   12:30Prof. Alex Graeser: Control of care giving robot FRIEND by BCI.
   System design, experience and future

   01:15-- Lunch break

   02:15Dr. Ricardo Chavarriaga (Prof. Jose del R. Millan): Non-invasive
   Brain-Controlled Robots.

   03:00Dr. Carmen Vidaurre (Prof. K. R. Muler): Non invasive BBCI and
   co-adaptive learning.

   03:30-- Coffee break/Posters exhibition

   04:00-- Ander Ramos (Prof. N. Birbaumer): Coupling BCI and Robotics
   for Stroke Rehabilitation.

   04:30Dr. Javier Minguez: Mental control of machines: application to
   wheelchairs and remote robot teleoperation.


   ----- Poster auhors and title

    

   Blatt R. et al.: An autonomous Wheelchair Driven by Event Related
   Potentials

   Escolano C. et al.: Brain Actuated Teleoperation System

   Iturrate I. et al.: Synchronous EEG Brain-actuated Wheelchair with
   Automated Navigation.

   Saulnier P. et al.: Using brain-robot interfaces for controlling
   ambient social patterns

   Bento V.F. et al.: An Academic Brain Computer Interface- A
   multidisciplinary Tool for Knowledge

   Castellini C. et al.: Non-invasive Adaptive Hand Prosthetics

   Menegatti E. et al: Evaluation of a robot as embodied interface for
   Brain Computer Interface systems
   --
   --
   Javier Minguez
   Dpto de Infomatica e Ingenieria de Sistemas
   Universidad de Zaragoza
   Spain

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Eugen* Leitl <a href="http://leitl.org">leitl</a> http://leitl.org
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