swMATH ID: 20173
Software Authors: Tichakorn Wongpiromsarn, Ufuk Topcu, Necmiye Ozay, Huan Xu, Richard M. Murray
Description: TuLiP: a software toolbox for receding horizon temporal logic planning. This paper describes TuLiP, a Python-based software toolbox for the synthesis of embedded control software that is provably correct with respect to an expressive subset of linear temporal logic (LTL) specifications. TuLiP combines routines for (1) finite state abstraction of control systems, (2) digital design synthesis from LTL specifications, and (3) receding horizon planning. The underlying digital design synthesis routine treats the environment as adversary; hence, the resulting controller is guaranteed to be correct for any admissible environment profile. TuLiP applies the receding horizon framework, allowing the synthesis problem to be broken into a set of smaller problems, and consequently alleviating the computational complexity of the synthesis procedure, while preserving the correctness guarantee.
Homepage: http://dl.acm.org/citation.cfm?id=1967747
Related Software: PESSOA; CoSyma; SCOTS; CUDD; LTLMoP; ROCS; PRISM; C-CoRN; Coq; Rex; pypoman; FACTEST; FaSTrack; PythonRobotics; NumPy; SciPy; SENSE; BDD2Implement; pFaces; dReach
Cited in: 15 Publications

Citations by Year