High-level applications that run on Segway RMP 50 based robots at Learning Agents Research Group (LARG), AI Laboratory, Department of Computer Science, The University of Texas at Austin.
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."