Model checking
Environment Assumptions for Synthesis
CONCUR '08 Proceedings of the 19th international conference on Concurrency Theory
Explaining Counterexamples Using Causality
CAV '09 Proceedings of the 21st International Conference on Computer Aided Verification
Receding horizon control for temporal logic specifications
Proceedings of the 13th ACM international conference on Hybrid systems: computation and control
Boolean abstraction for temporal logic satisfiability
CAV'07 Proceedings of the 19th international conference on Computer aided verification
Diagnostic information for realizability
VMCAI'08 Proceedings of the 9th international conference on Verification, model checking, and abstract interpretation
Towards a notion of unsatisfiable cores for LTL
FSEN'09 Proceedings of the Third IPM international conference on Fundamentals of Software Engineering
JTLV: a framework for developing verification algorithms
CAV'10 Proceedings of the 22nd international conference on Computer Aided Verification
RATSY – a new requirements analysis tool with synthesis
CAV'10 Proceedings of the 22nd international conference on Computer Aided Verification
Synthesis of reactive(1) designs
VMCAI'06 Proceedings of the 7th international conference on Verification, Model Checking, and Abstract Interpretation
Temporal-Logic-Based Reactive Mission and Motion Planning
IEEE Transactions on Robotics
Least-violating control strategy synthesis with safety rules
Proceedings of the 16th international conference on Hybrid systems: computation and control
Iterative temporal motion planning for hybrid systems in partially unknown environments
Proceedings of the 16th international conference on Hybrid systems: computation and control
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Recent work in robotics has applied formal verification tools to automatically generate correct-by-construction controllers for autonomous robots. However, when it is not possible to create such a controller, these approaches do not provide the user with feedback on the source of failure, making the experience of debugging a specification somewhat ad hoc and unstructured, and a source of frustration for the user. This paper describes an extension to the LTLMoP toolkit for robot mission planning that encloses the control-generation process in a layer of automated reasoning to identify the cause of failure, and targets the users attention to flawed portions of the specification.