Continuous Control of a Soft Continuum Arm using Deep Reinforcement Learning

Keyphrases

• Continuous Control 100%
• Deep Reinforcement Learning (deep RL) 100%
• Continuum Arm 100%
• Control Policy 50%
• ARM Architecture 25%
• Loading Conditions 12%
• Highly Nonlinear 12%
• Workspace 12%
• Tracking Error 12%
• End-effector 12%
• External Loading 12%
• Nonlinear Characteristics 12%
• Machine Learning Techniques 12%
• Control Problem 12%
• Nonlinear Sensitivity 12%
• Model-based Reinforcement Learning 12%
• Policy-based 12%
• State Feedback 12%
• Path Tracking 12%
• Deep Deterministic Policy Gradient 12%
• Average Tracking 12%
• Reinforcement Learning Control 12%

Engineering

• Continuous Control 100%
• Policy Control 100%
• Reinforcement Learning 100%
• Loading Condition 33%
• External Loading 33%
• Machine Learning Technique 33%
• Learning Control 33%
• State Feedback 33%
• End Effector 33%

Chemical Engineering

• Reinforcement Learning 100%
• Learning System 50%