2 citations · 2 across the 3 of their papers we have counts for
3 papers
cs.RO2026
Visual Swarm Navigation via Deep Reinforcement Learning and Evolutionary Hybrid Design
Álvaro Díez, Fidel Aznar
Swarm robotics presents a robust and cost-effective paradigm for advanced automation in complex, dynamic environments, such as those encountered in search and rescue or environment…
cs.RO2026
Dual Variational Autoencoders for Efficient Sim-to-Real Transfer in Low-Cost Robotic Navigation
Álvaro Díez, Fidel Aznar
Vision-based autonomous navigation for low-cost robots remains a fundamental challenge, primarily due to the significant gap between simulated training environments and real-world…
cs.MA2026★ 2 cited
Event-Triggered Adaptive Consensus for Multi-Robot Task Allocation
Fidel Aznar, Mar Pujol, Álvaro Díez
Coordinating robotic swarms in dynamic and communication-constrained environments remains a fundamental challenge for collective intelligence. This paper presents a novel framework…