5 papers
As You Wish: Mission Planning with Formal Verification using LLMs in Precision Agriculture
Marcos Abel Zuzuárregui, Marcos Abel Zuzuárregui, Stefano Carpin
Though robotic systems are now being commercialized and deployed in various industries, many of these systems are highly specialized and often require an advanced skill set to oper…
N(CO): Neural Combinatorial Optimization with Chance Constraints to Solve Stochastic Orienteering
Anas Saeed, Marcos Abel Zuzuárregui, Stefano Carpin
Neural combinatorial optimization (NCO) offers a promising alternative to traditional heuristic-based methods for solving complex graph optimization problems by proposing to learn…
Solving Stochastic Orienteering Problems with Chance Constraints Using a GNN Powered Monte Carlo Tree Search
Marcos Abel Zuzuárregui, Stefano Carpin
Leveraging the power of a graph neural network (GNN) with message passing, we present a Monte Carlo Tree Search (MCTS) method to solve stochastic orienteering problems with chance…
One For All: LLM-based Heterogeneous Mission Planning in Precision Agriculture
Marcos Abel Zuzuárregui, Mustafa Melih Toslak, Stefano Carpin
Artificial intelligence is transforming precision agriculture, offering farmers new tools to streamline their daily operations. While these technological advances promise increased…
Leveraging LLMs for Mission Planning in Precision Agriculture
Marcos Abel Zuzuárregui, Stefano Carpin
Robotics and artificial intelligence hold significant potential for advancing precision agriculture. While robotic systems have been successfully deployed for various tasks, adapti…