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    Article

    Reluplex: a calculus for reasoning about deep neural networks

    Deep neural networks have emerged as a widely used and effective means for tackling complex, real-world problems. However, a major obstacle in applying them to safety-critical systems is the great difficulty i...

    Guy Katz, Clark Barrett, David L. Dill, Kyle Julian in Formal Methods in System Design (2022)

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    Article

    Dynamic multi-robot task allocation under uncertainty and temporal constraints

    We consider the problem of dynamically allocating tasks to multiple agents under time window constraints and task completion uncertainty. Our objective is to minimize the number of unsuccessful tasks at the en...

    Shushman Choudhury, Jayesh K. Gupta, Mykel J. Kochenderfer in Autonomous Robots (2022)

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    Adaptive Stress Testing of Safety-Critical Systems

    Stress testing in simulation plays a critical role in the validation of safety-critical systems, including aircraft, cars, medical devices, and spacecraft. The analysis of failure events is important in unders...

    Ritchie Lee, Ole J. Mengshoel in Safe, Autonomous and Intelligent Vehicles (2019)

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    Article

    Aircraft Collision Avoidance Using Monte Carlo Real-Time Belief Space Search

    The aircraft collision avoidance problem can be formulated using a decision-theoretic planning framework where the optimal behavior requires balancing the competing objectives of avoiding collision and adherin...

    Travis B. Wolf, Mykel J. Kochenderfer in Journal of Intelligent & Robotic Systems (2011)