3 papers
cs.RO2026
Bayesian Networks for Path-Based Sensors: Gathering Information and Path Planning in Communication Denied Environments
Alkesh K. Srivastava, George P. Kontoudis, Donald Sofge +1
A "path-based sensor" produces a single observation along a continuous path. For example, a boolean path-based sensor returns a single "1" if an event of interest is detected at an…
cs.MA2026
Distributed Quantum Gaussian Processes for Multi-Agent Systems
Meet Gandhi, George P. Kontoudis
Gaussian Processes (GPs) are a powerful tool for probabilistic modeling, but their performance is often constrained in complex, large-scale real-world domains due to the limited ex…
cs.MA2026
Federated Gaussian Process Learning via Pseudo-Representations for Large-Scale Multi-Robot Systems
Sanket A. Salunkhe, George P. Kontoudis
Multi-robot systems require scalable and federated methods to model complex environments under computational and communication constraints. Gaussian Processes (GPs) offer robust pr…