3 papers
cs.RO2026
Flying by Inference: Active Inference World Models for Adaptive UAV Swarms
Kaleem Arshid, Ali Krayani, Lucio Marcenaro +2
This paper presents an expert-guided active-inference-inspired framework for adaptive UAV swarm trajectory planning. The proposed method converts multi-UAV trajectory design from a…
cs.RO2026
Active Inference-Driven World Modeling for Adaptive UAV Swarm Trajectory Design
Kaleem Arshid, Ali Krayani, Lucio Marcenaro +2
This paper proposes an Active Inference-based framework for autonomous trajectory design in UAV swarms. The method integrates probabilistic reasoning and self-learning to enable di…
cs.RO2024
AINS: Affordable Indoor Navigation Solution via Line Color Identification Using Mono-Camera for Autonomous Vehicles
Nizamuddin Maitlo, Nooruddin Noonari, Kaleem Arshid +2
Recently, researchers have been exploring various ways to improve the effectiveness and efficiency of autonomous vehicles by researching new methods, especially for indoor scenario…