Deep Reinforcement Learning of Robotic Prosthesis for Gait Symmetry in Trans-Femoral Amputated Patients.
Nikolas SacchiGian Paolo IncremonaAntonella FerraraPublished in: MED (2021)
Keyphrases
- reinforcement learning
- real robot
- function approximation
- clinical data
- markov decision processes
- real time
- gait analysis
- mobile robot
- symmetry detection
- robotic systems
- robotic control
- robot control
- state space
- optimal control
- gait recognition
- robotic arm
- human gait recognition
- reinforcement learning algorithms
- temporal difference
- human gait
- human recognition
- dynamic programming
- legged robots
- machine learning
- human identification
- function approximators
- action selection
- model free
- intensive care
- intensive care unit
- patient data
- robot behavior
- normal subjects
- biped robot
- optimal policy