Abstract: This article proposes an improved deep reinforcement learning algorithm for complete coverage path planning of mobile robots. The algorithm addresses the issue of agents easily getting ...

Note: Data shows estimates of proven oil reserves for 2025. Source: Oil & Gas Journal. The New York Times By Stanley Reed Reporting from London Venezuela’s oil industry would “make a lot of money” ...

Lake Mead boaters issued warning: "Dangerous lake conditions" Opinion: The double standard on executive power is impossible to ignore Parents of student killed in Kentucky State shooting arrested ...

In the published article, the equal contribution symbol and phrase “ † These authors share first authorship” were erroneously included for Yongbo Zhuang and Sha Luo in the author list. This symbol and ...

As the world marks International Universal Health Coverage (UHC) Day, the International Labour Organization (ILO) has reaffirmed its strong commitment to a rights-based approach to achieving health ...

Coverage path planning (CPP) is crucial when unmanned aerial vehicle (UAV) performs tasks such as pesticide spraying. However, existing coverage path planning methods suffer from the problem of easily ...

This repo involves approach based on bio-inspired algorithms to solve the MATLAB and Simulink Challenge Project - Multi-UAV Path Planning for Urban Air Mobility. There is more information in this ...

1 Faculty of Information Technology, Al-Farabi Kazakh National University, Almaty, Kazakhstan 2 School of Data Science, Fudan University, Shanghai, China Robot path planning is a cornerstone of ...

Google claims to have developed a quantum computer algorithm that is 13,000 times faster than the most powerful supercomputers. This would bring the technology another step closer to real-world ...

numpy (v1.17.4 used) optional (used only in coverage_test.py): Given a NxM matrix, where free areas are marked with 0, obstacles with 1 and the starting point with 2, find a trajectory that passes ...