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Provably correct reactive control from natural language., , , , and . Auton. Robots, 38 (1): 89-105 (2015)Dynamics-driven adaptive abstraction for reactive high-level mission and motion planning., , and . ICRA, page 369-376. IEEE, (2015)Low-Effort Specification Debugging and Analysis., and . SYNT, volume 157 of EPTCS, page 117-133. (2014)Combining Neural Networks and Tree Search for Task and Motion Planning in Challenging Environments., , , and . CoRR, (2017)The 2016 Formal Methods for Robotics Challenge Competitions.. IEEE Robot. Automat. Mag., 23 (3): 24-25 (2016)Reactive mission and motion planning with deadlock resolution avoiding dynamic obstacles., , , , and . Auton. Robots, 42 (4): 801-824 (2018)Robust Model Predictive Control for Signal Temporal Logic Synthesis., , and . ADHS, volume 48 of IFAC-PapersOnLine, page 323-328. Elsevier, (2015)Generating Dominant Strategies for Continuous Two-Player Zero-Sum Games., , , , and . ADHS, volume 51 of IFAC-PapersOnLine, page 7-12. Elsevier, (2018)Obfuscator Synthesis for Privacy and Utility., , , and . NFM, volume 9690 of Lecture Notes in Computer Science, page 133-149. Springer, (2016)Situation understanding bot through language and environment., , , , , , , , , and 2 other author(s). HRI, page 419-420. ACM, (2012)