Design and Experimental Validation of Deep Reinforcement Learning-Based Fast Trajectory Planning and Control for Mobile Robot in Unknown Environment

Engineering

• Trajectory Planning 100%
• Mobile Robot 100%
• Reinforcement Learning 100%
• Deep Learning 66%
• Deep Neural Network 66%
• Policy Control 66%
• Tasks 33%
• Network Model 33%
• Simulation Result 33%
• Control Algorithm 33%
• System State 33%
• Collision Avoidance 33%
• Target Position 33%
• Recurrent 33%
• Prediction Performance 33%
• Recurrent Network 33%
• Planning Phase 33%

Computer Science

• Trajectory Planning 100%
• Motion Planning 100%
• Mobile Robot 100%
• Deep Reinforcement Learning 100%
• Deep Learning 66%
• Case Study 33%
• Prediction Performance 33%
• Control Framework 33%
• Approximation (Algorithm) 33%
• Deep Neural Network 33%
• Control Algorithm 33%
• And-States 33%
• Training Process 33%
• Target Position 33%
• Planning Phase 33%
• Recurrent Network 33%
• Deep Recurrent Neural Network 33%