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<p class="MsoNormal" style="background:white"><b><span style="font-family:"Arial",sans-serif;color:#212121">Webinar: “</span></b><b><span style="font-family:"Arial",sans-serif;color:black">Robust Control Strategies for Musculoskeletal Models Using Deep Reinforcement
 Learning”</span></b><b><span style="font-family:"Arial",sans-serif;color:#212121">
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<p class="MsoNormal" style="background:white"><i><span style="font-family:"Arial",sans-serif;color:#212121">Tuesday, August 7, 2018 at 10:00am Pacific Daylight Time</span></i><span style="font-size:12.0pt;font-family:"Arial",sans-serif;color:#212121"><o:p></o:p></span></p>
<p class="MsoNormal" style="background:white"><span style="font-family:"Arial",sans-serif;color:black">Reinforcement learning is an unsupervised machine learning approach that seeks to take actions to maximize some user-defined performance metric, or reward,
 thus creating a complex controller for any movement without specific domain knowledge. In this webinar, Łukasz Kidziński from Stanford University will introduce reinforcement learning and its application to developing control strategies.
</span><span class="MsoHyperlink"><span style="font-family:"Arial",sans-serif"><a href="http://opensim.stanford.edu/support/event_details.php?id=203&title=Webinar-Robust-control-strategies-for-musculoskeletal-models-using-deep-reinforcement-learning">Learn
 more and register</a></span></span><span style="font-family:"Arial",sans-serif;color:black">
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<p class="MsoNormal" style="background:white"><b><span style="font-family:"Arial",sans-serif;color:#212121">NCSRR/OpenSim Pilot Project Program
</span></b><b><span style="font-size:12.0pt;font-family:"Arial",sans-serif;color:#212121"><o:p></o:p></span></b></p>
<p class="MsoNormal" style="background:white"><i><span style="font-family:"Arial",sans-serif;color:#212121">Application Deadline: 5pm Pacific Daylight Time on August 1, 2018</span></i><span style="font-size:13.5pt;font-family:"Tahoma",sans-serif;color:#212121"><o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-family:"Arial",sans-serif;color:#212121">The National Center for Simulation in Rehabilitation Research (NCSRR) and OpenSim project at Stanford University seek proposals for our pilot project program. The program awards
 seed grants to innovative and meritorious projects that will accelerate the use of simulation in rehabilitation research. Pilot project awardees may request funding up to $40,000 for their research.
</span><span class="MsoHyperlink"><span style="font-family:"Arial",sans-serif"><a href="http://opensim.stanford.edu/support/pilot.html">Learn more and apply</a></span></span><span class="MsoHyperlink"><span style="font-size:12.0pt;font-family:"Arial",sans-serif"><o:p></o:p></span></span></p>
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<p class="MsoNormal" style="background:white"><b><span style="font-family:"Arial",sans-serif;color:#212121">Below-Knee Amputee Model that Accounts for Residuum-Socket Interaction</span><span style="color:#212121"><o:p></o:p></span></b></p>
<p class="MsoNormal" style="background:white"><span style="font-family:"Arial",sans-serif;color:#212121">When modeling the gait of individuals with lower limb loss who use a prosthesis, the motion and loads of the residual limb inside the socket are typically
 not captured and thus, cannot be included in the model. Andrew LaPre and colleagues at the University of Massachusetts @ Amherst have developed a below-knee amputee model that includes a residuum-socket joint with zero to 6 degrees of freedom (DOFs). They
 used a global optimization technique and anatomical constraints to find the parameters for the interface, including the DOFs, that best satisfied both experimental data and data from the literature. Read more about their model and process for making it patient-specific
 in their publication </span><span class="MsoHyperlink"><span style="font-family:"Arial",sans-serif"><a href="https://onlinelibrary.wiley.com/doi/abs/10.1002/cnm.2936">“Approach for Gait Analysis in Persons with Limb Loss Including Residuum and Prosthesis Socket
 Dynamics.”</a></span></span><span style="font-family:"Arial",sans-serif;color:#212121">  You can download the model from
</span><span class="MsoHyperlink"><span style="font-family:"Arial",sans-serif"><a href="https://simtk.org/projects/bkamputee_model/">https://simtk.org/projects/bkamputee_model/</a></span></span><span style="font-family:"Arial",sans-serif;color:#212121">.
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<p class="MsoNormal"><b><span style="font-size:10.0pt;color:#404040">Joy P. Ku, PhD<o:p></o:p></span></b></p>
<p class="MsoNormal"><span style="font-size:10.0pt;color:#404040">Project Manager,
</span><span style="font-size:10.0pt;color:black"><a href="http://simtk.org/"><span style="color:black">SimTK</span></a></span><span style="font-size:10.0pt;color:#404040"><o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:10.0pt;color:#404040">Director of Communications & Training,
<a href="http://opensim.stanford.edu/"><span style="color:#404040">NCSRR</span></a><o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:10.0pt;color:#404040">Director of Communications & Engagement,
<a href="http://mobilize.stanford.edu/"><span style="color:#404040">Mobilize Center</span></a><o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:10.0pt;color:#404040">Stanford University<o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:10.0pt;color:#404040">(w)  650.736.8434, (f) 650.723.7461<o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:10.0pt;color:#404040">Email:  joyku@stanford.edu<o:p></o:p></span></p>
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