nj1407 / segbot

ROS drivers for controlling Segway-based robots at the University of Texas at Austin

The segbot ROS metapackage

ROS drivers for controlling Segway-based robots at the Learning Agents Research Group (LARG), AI Laboratory, Department of Computer Science, University of Texas at Austin.

Documentation for much of this code-base can be found on the ROS wiki:

• segbot

All the code in this package has been released using a modified BSD license, which can be found with this package here.

All academic uses of this work should cite the following representative paper: "Piyush Khandelwal, Fangkai Yang, Matteo Leonetti, Vladimir Lifschitz, and Peter Stone. Planning in Action Language BC while Learning Action Costs for Mobile Robots. International Conference on Automated Planning and Scheduling (ICAPS). 2014."