3 accepted papers
Active 3D reconstruction of moving objects requires selecting informative viewpoints while accounting for object motion during the decision-to-execution delay. However, most next-best-view (NBV) planners assume static objects, while motion-aware active perception for moving targets typically priorit…
Distributed multi-robot teams are increasingly used for optimal coverage of domains with unknown density distributions, often modeled with Gaussian Processes (GPs). However, current methods rely on data sharing, raising privacy concerns and computational issues. We propose a Federated Learning (FL)
The present study addresses the challenge of effectively deploying a multi-robot team to optimally cover a domain with unknown density distribution. Specifically, we propose a distribute coverage-based control algorithm that enables a group of autonomous robots to simultaneously learn and estimate a