Exploring Unstructured Environments using Minimal Sensing on Cooperative Nano-Drones

P Arias-Perez, A Gautam… - IEEE Robotics and …, 2024 - ieeexplore.ieee.org
Recent advances have improved autonomous navigation and mapping under payload
constraints, but current multi-robot inspection algorithms are unsuitable for nano-drones …

Designing a Social Network Framework Utilizing New Swarm and P2P Technologies for Application in Office Automation

M Yao, N Cheong, Y Hu, F Zhou - International Conference on Swarm …, 2024 - Springer
Our research develops and tests a new social network model based on Swarm intelligence
and peer-to-peer (P2P) technology, specifically targeting office automation needs. By taking …

Combining Local and Global Perception for Autonomous Navigation on Nano-UAVs

L Lamberti, G Rutishauser, F Conti, L Benini - arXiv preprint arXiv …, 2024 - arxiv.org
A critical challenge in deploying unmanned aerial vehicles (UAVs) for autonomous tasks is
their ability to navigate in an unknown environment. This paper introduces a novel vision …

Classification of Drone Detection Module using Hybrid Learning Algorithms

RK Kanna, K Joshi, M Aeri, FR Menezes… - 2024 4th …, 2024 - ieeexplore.ieee.org
Drones have grown in popularity due to their widespread use in many applications from
research and surveys to logistics and entertainment, but the widespread use of drones also …

A Survey of AI-based Models for UAVs' Intelligent Control for Deconfliction

XPP Nguyen, N Ruseno, FS Chagas… - … on Control, Decision …, 2024 - ieeexplore.ieee.org
The growing potential for Unmanned Aerial vehicles (UAVs) is creating new business
opportunities. Drones, U-space, UTM, and their application to Air Mobility are fostering new …