1 citations · 1 across the 9 of their papers we have counts for
12 papers
Expressiveness, Equivalence, and Uncertainty in Velocity Obstacles and Closest Point of Approach Metrics
Elizabeth Dietrich, Liam M. Imagawa, Hanna Krasowski +3
Time to Closest Point of Approach (TCPA), Distance to Closest Point of Approach (DCPA), and Velocity Obstacles (VOs), are widely used to assess and mitigate collision risk in auton…
Staying on Spec: Real-Time Monitoring under Uncertainty with a Maritime Case Study
Elizabeth Dietrich, Hanna Krasowski, Emir Cem Gezer +3
Robotic systems must operate under uncertainty while satisfying complex task and safety specifications. Monitoring such specifications under uncertainty remains challenging, as exi…
Learning-enabled Parameter Synthesis for Nonlinear Systems from Signal Temporal Logic
Alex Beaudin, Hanna Krasowski, Eric Palanques-Tost +2
Signal Temporal Logic (STL) is increasingly used to describe interpretable objectives and constraints for optimal control and learning methods, especially when no target time serie…
X-Safe: Embodiment-Agnostic Safeguarding for Robot Arm Manipulation Policies via Action Masking
Alex Beaudin, Hanna Krasowski, Kartik Nagpal +3
Ensuring safety of learning-enabled robotic manipulation across diverse embodiments and tasks still requires significant manual engineering. For collision avoidance, existing appro…
Probably Approximately Correct Guarantees for Data-Driven Reachability Analysis: A Theoretical and Empirical Comparison
Elizabeth Dietrich, Hanna Krasowski, Murat Arcak
Reachability analysis evaluates system safety by identifying the set in which states may evolve over a time horizon. Data-driven reachability analysis estimates reachable sets and…
Importance Sampling for Statistical Certification of Viable Initial Sets
Elizabeth Dietrich, Hanna Krasowski, Vegard Flovik +1
We study the problem of statistically certifying viable initial sets (VISs)---sets of initial conditions whose trajectories satisfy a given control specification. While VISs can be…
pacSTL: PAC-Bounded Signal Temporal Logic from Data-Driven Reachability Analysis
Hanna Krasowski, Elizabeth Dietrich, Emir Cem Gezer +3
Signal Temporal Logic (STL) is an expressive language for specifying behaviors of dynamical systems from continuous signals. However, a limitation of standard STL is its inherently…
Falsification-driven reinforcement learning for maritime motion planning
Marlon Müller, Florian Finkeldei, Hanna Krasowski +2
Compliance with maritime traffic rules is essential for the safe operation of autonomous vessels, yet training reinforcement learning (RL) agents to adhere to them is challenging.…
STL-based Optimization of Biomolecular Neural Networks for Regression and Control
Eric Palanques-Tost, Hanna Krasowski, Murat Arcak +2
Biomolecular Neural Networks (BNNs), artificial neural networks with biologically synthesizable architectures, achieve universal function approximation capabilities beyond simple b…
Learning to Drive by Imitating Surrounding Vehicles
Yasin Sonmez, Hanna Krasowski, Murat Arcak
Imitation learning is a promising approach for training autonomous vehicles (AV) to navigate complex traffic environments by mimicking expert driver behaviors. While existing imita…
Intelligent Sailing Model for Open Sea Navigation
Hanna Krasowski, Stefan Schärdinger, Murat Arcak +1
Autonomous vessels potentially enhance safety and reliability of seaborne trade. To facilitate the development of autonomous vessels, simulations are required to model realistic in…
Learning Biomolecular Models using Signal Temporal Logic
Hanna Krasowski, Eric Palanques-Tost, Calin Belta +1
Modeling dynamical biological systems is key for understanding, predicting, and controlling complex biological behaviors. Traditional methods for identifying governing equations, s…