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README.md

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 * a modular design that offers great flexibility in designing new robot simulation environments;
 * a high-quality implementation of robot controllers and off-the-shelf learning algorithms to lower the barriers to entry.
 
-This framework was originally developed in late 2017 by researchers in [Stanford Vision and Learning Lab](http://svl.stanford.edu) (SVL) as an internal tool for robot learning research. Now, it is actively maintained and used for robotics research projects in SVL, the [UT Robot Perception and Learning Lab](http://rpl.cs.utexas.edu) (RPL) and NVIDIA [Genearlist Embodied Agent Research Group](https://research.nvidia.com/labs/gear/) (GEAR). We welcome community contributions to this project. For details, please check out our [contributing guidelines](CONTRIBUTING.md).
+This framework was originally developed in late 2017 by researchers in [Stanford Vision and Learning Lab](http://svl.stanford.edu) (SVL) as an internal tool for robot learning research. Now, it is actively maintained and used for robotics research projects in SVL, the [UT Robot Perception and Learning Lab](http://rpl.cs.utexas.edu) (RPL) and NVIDIA [Generalist Embodied Agent Research Group](https://research.nvidia.com/labs/gear/) (GEAR). We welcome community contributions to this project. For details, please check out our [contributing guidelines](CONTRIBUTING.md).
 
 **Robosuite** offers a modular design of APIs for building new environments, robot embodiments, and robot controllers with procedural generation. We highlight these primary features below: