Automated Composition of Motion Primitives for Multi-Robot Systems from Safe LTL Specifications
Indranil Saha, Rattanachai Ramaithitima, Vijay Kumar, George J. Pappas, and
Sanjit A. Seshia. Automated Composition of Motion Primitives for Multi-Robot Systems from Safe LTL Specifications.
In Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), pp. 1525–1532,
September 2014.
For a quick demonstration of this work, see the accompanying video.
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Abstract
We present a compositional motion planning framework for multi-robot systems based on an encoding to satisfiability modulo theories (SMT). In our framework, the desired behavior of a group of robots is specified using a set of safe linear temporal logic (LTL) properties. Our method relies on a library of motion primitives, each of which corresponds to a controller that ensures a particular trajectory in a given configuration. Using the closed-loop behavior of the robots under the action of different controllers, we formulate the motion planning problem as an SMT solving problem and use an off-the-shelf SMT solver to generate trajectories for the robots. Our approach can also be extended to synthesize optimal cost trajectories where optimality is defined with respect to the available motion primitives. Experimental results show that our framework can efficiently solve complex motion planning problems in the context of multi-robot systems.
BibTeX
@InProceedings{saha-iros14, author = {Indranil Saha and Rattanachai Ramaithitima and Vijay Kumar and George J. Pappas and Sanjit A. Seshia}, title = {Automated Composition of Motion Primitives for Multi-Robot Systems from Safe LTL Specifications}, booktitle = {Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)}, OPTcrossref = {}, OPTkey = {}, pages = {1525--1532}, year = {2014}, OPTeditor = {}, OPTvolume = {}, OPTnumber = {}, OPTseries = {}, OPTaddress = {}, month = {September}, OPTorganization = {}, OPTpublisher = {}, OPTannote = {}, abstract={We present a compositional motion planning framework for multi-robot systems based on an encoding to satisfiability modulo theories (SMT). In our framework, the desired behavior of a group of robots is specified using a set of safe linear temporal logic (LTL) properties. Our method relies on a library of motion primitives, each of which corresponds to a controller that ensures a particular trajectory in a given configuration. Using the closed-loop behavior of the robots under the action of different controllers, we formulate the motion planning problem as an SMT solving problem and use an off-the-shelf SMT solver to generate trajectories for the robots. Our approach can also be extended to synthesize optimal cost trajectories where optimality is defined with respect to the available motion primitives. Experimental results show that our framework can efficiently solve complex motion planning problems in the context of multi-robot systems.}, }