Anthropomorphic Walking Robots Integration in Smart Green Systems

Advanced Control Subsystem for Mobile Robotic Systems in Precision Agriculture

“…The existence of smart farms is based upon the strategies, methods and algorithms taking into account in order to perform certain tasks by the robots, but also upon the retechnologisation of agricultural processes through sustainability (efficiency and low pollution) [19].…”

“…The application of AI in agriculture determined the emergence of robots and controlled processes. The robots moving on wheels [1-3, 9, 10, 14] and / or with autonomous motion [1,3,19] include modern components and advanced technological solutions. Scientific researches for precision agriculture targeted the crops of carrots, tomatoes and lettuces [13] and demonstrated that much better results can be achieved by weeds controlling.…”

“…Scientific researches for precision agriculture targeted the crops of carrots, tomatoes and lettuces [13] and demonstrated that much better results can be achieved by weeds controlling. Thus, Neural Networks (NN) [7,10,19], Genetic Algorithms (GA) [2], Simultaneous Localization And Mapping algorithms (SLAM) [5,10] Denevit-Harterenberg method [9], Monte Carlo algorithm [3], Kalman filter [14], Pareto principal [2], multi-objective optimizations [2], Deep Learning [1,7,8,10], Deep Reinforcement Learning (DRL) and Imitation Learning (IL) [4] were implemented, independently or in interaction.…”