Fast and accurate trajectory tracking for unmanned aerial vehicles based on deep reinforcement learning

Physics & Astronomy

• pilotless aircraft 100%
• learning 67%
• reinforcement 65%
• trajectories 48%
• fixed wings 38%
• trajectory control 32%
• position errors 30%
• control theory 27%
• field-programmable gate arrays 26%
• hardware 19%
• torque 19%
• methodology 16%
• degrees of freedom 16%
• adjusting 16%
• energy 6%

Engineering & Materials Science

• Reinforcement learning 62%
• Unmanned aerial vehicles (UAV) 57%
• Trajectories 43%
• Fixed wings 19%
• Degrees of freedom (mechanics) 17%
• Real time control 16%
• Control theory 15%
• Deep neural networks 15%
• Derivatives 12%
• Field programmable gate arrays (FPGA) 12%
• Electric power utilization 11%
• Torque 11%
• Computer hardware 9%