Title :
LTLMoP: Experimenting with language, Temporal Logic and robot control
Author :
Finucane, Cameron ; Jing, Gangyuan ; Kress-Gazit, Hadas
Author_Institution :
Cornell Univ., Ithaca, NY, USA
Abstract :
The Linear Temporal Logic MissiOn Planning (LTLMoP) toolkit is a software package designed to assist in the rapid development, implementation, and testing of high-level robot controllers. In this toolkit, structured English and Linear Temporal Logic are used to write high-level reactive task specifications, which are then automatically transformed into correct robot controllers that can be used to drive either a simulated or a real robot. LTLMoP´s modular design makes it ideal for research in areas such as controller synthesis, semantic parsing, motion planning, and human-robot interaction.
Keywords :
control system synthesis; human-robot interaction; mobile robots; path planning; software packages; temporal logic; LTLMoP modular design; controller synthesis; high level reactive task specification; high level robot controllers; human-robot interaction; linear temporal logic mission planning toolkit; motion planning; semantic parsing; software package; Motion planning; controller synthesis; hybrid control; language; mission planning; sensor-based planning; temporal logics;
Conference_Titel :
Intelligent Robots and Systems (IROS), 2010 IEEE/RSJ International Conference on
Conference_Location :
Taipei
Print_ISBN :
978-1-4244-6674-0
DOI :
10.1109/IROS.2010.5650371