Sichkar V. N. "Reinforcement Learning Algorithms in Global Path Planning for Mobile Robot", 2019 International Conference on Industrial Engineering, Applications and Manufacturing (ICIEAM), Sochi, ...

50+ multitask evolutionary algorithms for multitask optimization 50+ single-task evolutionary algorithms that can handle multitask optimization problems 200+ multitask optimization problem cases with ...

Unmanned Aerial Vehicle (UAV), defined as aircraft operated without human pilots onboard, emerged as a revolutionary technology in the late 20th century. With the accelerated evolution of ...

Heat transfer, encompassing conduction, convection, and radiation, is a fundamental physical process critical to engineering, environmental science, and materials development. Modeling heat transfer ...

Are you a STEM student or professional looking to move into the lucrative and fascinating world of Quantitative Finance? What are the pathways into further study? What compensation can one expect ...

Abstract: This paper presents the hierarchical Q-learning path planning (HQPP) architecture for solving the cooperative tracking control problem of multi-agent systems (MASs) with lumped uncertainties ...

Abstract: With the continuous development of science and technology, the application of artificial intelligence in robot technology, especially in the progress of sports robot technology, has received ...

1 College of Automotive Engineering, Hubei University of Automotive Technology, Shiyan, China. 2 College of Automotive Engineering, Donghua University, Shanghai, China. 3 College of Mechanical ...

The paper studies the estimation of state of charge (SOC) of batteries. Firstly, the research status of battery management system, battery equivalent model and SOC estimation algorithm is introduced, ...

In this paper, to address the drawbacks of the above mentioned algorithms, based on the fusion of TERMA and fractional Fourier-transform (FrFT), we propose an algorithm that can produce better results ...

In this paper, we present two divide-and-conquer algorithms for clustering large graphs. Both algorithms apply a base algorithm on several small subgraphs and then use these individual local ...

Rodents engage in active touch using their facial whiskers: they explore their environment by making rapid back-and-forth movements. The fast nature of whisker movements, during which whiskers often ...