2 citations · 5 across the 16 of their papers we have counts for
15 papers
PEACE: A Planner-Executor Agent with Constraint Enforcement for UAVs
Erdem Uysal, Timo Kehrer, Sebastiano Panichella
Foundation models are increasingly used to drive autonomous systems, yet existing approaches either keep the model in a tight control loop, raising latency and hallucination risk,…
Multi-Agent Reinforcement Learning for Safe Autonomous Driving Under Pedestrian Behavioral Uncertainty
Prakash Aryan, Kaushik Raghupathruni, Timo Kehrer +1
Simulation-based testing of self-driving cars (SDCs) typically relies on scripted pedestrian models that do not capture the heterogeneity and uncertainty of real crossing behavior,…
MR-SLAM: Immersive Spatial Supervision for Multi-Robot Mapping via Mixed Reality
Prakash Aryan, Cem Erdogdu, Kavinaya Kumarchokkappan +2
Operating a multi-robot fleet for simultaneous localization and mapping (SLAM) in applications such as building inspection or warehouse-aisle monitoring requires the operator to ma…
The Role of Road Features and Vehicle Dynamics in Cost-Effective Autonomous Vehicles Safety Testing: Insights from Instance Space Analysis
Victor Crespo-Rodriguez, Christian Birchler, Neelofar +2
Context: Simulation-based testing is a cost-efficient alternative to field testing for Autonomous Vehicles (AVs), but generating safety-critical test cases is challenging due to th…
Bridging Research and Practice in Simulation-based Testing of Industrial Robot Navigation Systems
Sajad Khatiri, Francisco Eli Vina Barrientos, Maximilian Wulf +2
Ensuring robust robotic navigation in dynamic environments is a key challenge, as traditional testing methods often struggle to cover the full spectrum of operational requirements.…
ICST Tool Competition 2025 -- Self-Driving Car Testing Track
Christian Birchler, Stefan Klikovits, Mattia Fazzini +1
This is the first edition of the tool competition on testing self-driving cars (SDCs) at the International Conference on Software Testing, Verification and Validation (ICST). The a…