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+---
+title: L2M - Walk Around
+permalink: /docs/nips2019/
+redirect_from: /docs/nips2019/index.html
+---
+
+This repository contains software required for participation in the NeurIPS 2019 Challenge: Learn to Move - Walk Around. In this competition, your task is to develop a controller for a physiologically plausible 3D human model to move (walk or run) following velocity commands with minimum effort. Find out more about the challenge [**here**](https://www.aicrowd.com/challenges/neurips-2019-learning-to-move-walk-around).
+
+<table style="background-color: #ffffff">
+<caption align="bottom" style="padding-top: 0.3em; font-size: 0.8em">A 3D human musculoskeletal model (right) and target velocity maps (global map: top-left; local map: bottom-left).</caption>
+<tr><td><img src="./fig/L2M2019.png" alt=""/></td></tr>
+</table>
+
+## Mission
+
+Bridge researchers from neuroscience, biomechanics, robotics, and machine learning to model neuro-muscular-skeletal dynamics of human movement
+