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20162026
most citedData-Driven Reachability Analysis from Noisy Data

63 citations · 122 across the 63 of their papers we have counts for

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Showing 2025Show all

10 papers · 1 filter

math.OC2025

Roundabout Constrained Convex Generators: A Unified Framework for Multiply-Connected Reachable Sets

Peng Xie, Sabin Diaconescu, Florin Stoican +1

This paper introduces Roundabout Constrained Convex Generators (RCGs), a set representation framework for modeling multiply connected regions in control and verification applicatio…

eess.SY2025

Online Data-Driven Reachability Analysis using Zonotopic Recursive Least Squares

Alireza Naderi, Amr Hegazy, Amr Alanwar

Reachability analysis is a key formal verification technique for ensuring the safety of modern cyber physical systems subject to uncertainties in measurements, system models (param…

eess.SY2025

Hybrid Polynomial Zonotopes: A Set Representation for Reachability Analysis in Hybrid Nonaffine Systems

Peng Xie, Zhen Zhang, Amr Alanwar

Reachability analysis for hybrid nonaffine systems remains computationally challenging, as existing set representations--including constrained, polynomial, and hybrid zonotopes--ei…

cs.RO2025

Informed Hybrid Zonotope-based Motion Planning Algorithm

Peng Xie, Johannes Betz, Amr Alanwar

Optimal path planning in nonconvex free spaces poses substantial computational challenges. A common approach formulates such problems as mixed-integer linear programs (MILPs); howe…

cs.CL2025

Guiding Giants: Lightweight Controllers for Weighted Activation Steering in LLMs

Amr Hegazy, Mostafa Elhoushi, Amr Alanwar

Controlling undesirable Large Language Model (LLM) behaviors, such as the generation of unsafe content or failing to adhere to safety guidelines, often relies on costly fine-tuning…

eess.SY2025

Data-Driven Safety Verification using Barrier Certificates and Matrix Zonotopes

Mohammed Adib Oumer, Amr Alanwar, Majid Zamani

Ensuring safety in cyber-physical systems (CPSs) is a critical challenge, especially when system models are difficult to obtain or cannot be fully trusted due to uncertainty, model…

cs.RO2025

Predictive Traffic Rule Compliance using Reinforcement Learning

Yanliang Huang, Sebastian Mair, Zhuoqi Zeng +1

Autonomous vehicle path planning has reached a stage where safety and regulatory compliance are crucial. This paper presents an approach that integrates a motion planner with a dee…

eess.SY2025

Data-Driven Reachability Analysis for Piecewise Affine Systems

Peng Xie, Johannes Betz, Davide M. Raimondo +1

Hybrid systems play a crucial role in modeling real-world applications where discrete and continuous dynamics interact, including autonomous vehicles, power systems, and traffic ne…

cs.RO2025★ 1 cited

Safe LLM-Controlled Robots with Formal Guarantees via Reachability Analysis

Ahmad Hafez, Alireza Naderi Akhormeh, Amr Hegazy +1

The deployment of Large Language Models (LLMs) in robotic systems presents unique safety challenges, particularly in unpredictable environments. Although LLMs, leveraging zero-shot…

cs.AI2025

From Words to Collisions: LLM-Guided Evaluation and Adversarial Generation of Safety-Critical Driving Scenarios

Yuan Gao, Mattia Piccinini, Korbinian Moller +2

Ensuring the safety of autonomous vehicles requires virtual scenario-based testing, which depends on the robust evaluation and generation of safety-critical scenarios. So far, rese…