Conference
Learning A Risk-Aware Trajectory Planner From Demonstrations Using Logic Monitor
Differentiable Logic Layer for Rule Guided Trajectory Prediction
Non-Prehensile Manipulation of Cuboid Objects Using a Catenary Robot
Automata-based Optimal Planning with Relaxed Specifications
A Control Architecture for Provably-Correct Autonomous Driving
Deep Bayesian Nonparametric Learning of Rules and Plans from Demonstrations with a Learned Automaton Prior
Brandon Araki, Kiran Vodrahalli, Thomas Leech, Cristian Ioan Vasile, Mark Donahue, and Daniela Rus. Deep Bayesian Non-parametric Learning of Rules and Plans from Demonstrations with a Learned Automaton Prior. In AAAI Conference on Artificial Intellifence, New York, NY, USA, July 2020.
Multi-robot routing and scheduling with temporal logic and synchronization constraints
Alessio Mosca, Cristian Ioan Vasile, Calin Belta, and Davide M. Raimondo. Multi-robot routing and scheduling with temporal logic and synchronization constraints. In IEEE International Conference on Control and Robots (ICCR), Jeju Island, South Korea, December 2019.
Average-based Robustness for Continuous-Time Signal Temporal Logic
Noushin Mehdipour, Cristian Ioan Vasile, and Calin Belta. Average-based Robustness for Continuous-Time Signal Temporal Logic. In IEEE Conference on Decision and Control (CDC), Nice, France, December 2019.
ScRATCHS: Scalable and Robust Algorithms for Task-Based Coordination from High-Level Specifications
Austin M Jones, Kevin Leahy, Cristian Ioan Vasile, Sadra Sadradinni, Zachary Serlin, Roberto Tron, and Calin Belta. Scalable and Robust Deployment of Heterogenenous Teams from Temporal Logic Specifications. In International Symposium on Robotics Research (ISRR), Hanoi, Vietnam, October 2019.
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