Deep reinforcement learning and ant colony optimization supporting multi‐UGV path planning and task assignment in 3D environments

B Jin, Y Sun, W Wu, Q Gao, P Si - IET Intelligent Transport …, 2024 - Wiley Online Library
With the development of artificial intelligence, the application of unmanned ground vehicles
(UGV) in outdoor hazardous scenarios has received more attention. However, the terrains in …

Infonomics of Autonomous Digital Twins

I David, D Bork - International Conference on Advanced Information …, 2024 - Springer
High autonomy is challenging to achieve in digital twins. This is due to the lack of
understanding of the socio-technical challenges and the information needs of digital twin …

Environmental Monitoring and Conservation Using Drones

EFI Raj, K Manimala, EFI Rani… - Drone Applications for …, 2024 - igi-global.com
Environmental monitoring and conservation are critical to safeguarding our planet's fragile
ecosystems and natural resources. In recent years, the integration of drone technology has …

Development of Image Processing Based Line Tracking Systems for Automated Guided Vehicles with ANFIS and Fuzzy Logic

A Yüksek, AU Elik - Cumhuriyet Science Journal, 2023 - csj.cumhuriyet.edu.tr
Automated Guided Vehicles (AGVs) are robotic vehicles with the ability to move using
mapping and navigation technologies to perform tasks assigned to them, guided by guides …

Ethical Considerations of Bias and Fairness in AI Models

S Verma, N Paliwal, K Yadav… - 2024 2nd International …, 2024 - ieeexplore.ieee.org
The ethical implications of artificial intelligence (AI) are becoming increasingly important. AI
systems have the potential to incite bias against certain races and genders, either through …

[PDF][PDF] BRIEFING NOTES

NE Fard, RR Selmic - concordia.ca
SUMMARY “Artificial intelligence (AI) is intelligence demonstrated by machines, unlike the
natural intelligence displayed by humans and animals, which involves consciousness and …