3 citations · 3 across the 3 of their papers we have counts for
3 papers
cs.SE2026
Self-Evolving Software Agents
Marco Robol, Paolo Giorgini
Autonomous agents can adapt their behaviour to changing environments, but remain bound to requirements, goals, and capabilities fixed at design time, preventing genuine software ev…
cs.MA2023★ 3 cited
Evaluating Heuristic Search Algorithms in Pathfinding: A Comprehensive Study on Performance Metrics and Domain Parameters
Aya Kherrour, Marco Robol, Marco Roveri +1
The paper presents a comprehensive performance evaluation of some heuristic search algorithms in the context of autonomous systems and robotics. The objective of the study is to ev…
cs.RO2023
Implementing BDI Continual Temporal Planning for Robotic Agents
Alex Zanetti, Devis Dal Moro, Redi Vreto +3
Making autonomous agents effective in real-life applications requires the ability to decide at run-time and a high degree of adaptability to unpredictable and uncontrollable events…