5 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…
Can We Make Code Green? Understanding Trade-Offs in LLMs vs. Human Code Optimizations
Pooja Rani, Jan-Andrea Bard, June Sallou +3
The rapid technological evolution has accelerated software development for various domains and use cases, contributing to a growing share of global carbon emissions. While recent l…
Explaining GitHub Actions Failures with Large Language Models: Challenges, Insights, and Limitations
Pablo Valenzuela-Toledo, Chuyue Wu, Sandro Hernandez +4
GitHub Actions (GA) has become the de facto tool that developers use to automate software workflows, seamlessly building, testing, and deploying code. Yet when GA fails, it disrupt…